🎈 Public Lab: Revisions for 'SoC ideas'

Revisions for SoC ideas

220	warren	October 29, 2013 16:12 \| over 10 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Post your proposals on this page Who to contact with ideas/proposals Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Related to the SpectralWorkbench.org open source spectral analysis platform Links: https://spectralworkbench.org, http://github.com/jywarren/spectral-workbench GPLv3 Project: automated spectrometer calibration Description: Currently, in SpectralWorkbench.org, users manually click on known features in a fluorescent lightbulb spectrum to calibrate their spectrometer. Much better, easier, and more precise might be an automated way to pattern-match/recognize the mercury spectrum (such as this: ) and to auto-calibrate the spectrometer. The Capture interface could automatically recognize a mercury spectrum whenever you pointed the spectrometer at one, and prompt you to recalibrate. This could be developed in pure JavaScript using the Spectral Workbench API List: plots-spectrometry Links: http://publiclab.org/wiki/spectral-workbench-calibration http://publiclab.org/wiki/spectrometer https://github.com/jywarren/spectral-workbench/issues/45 Prerequisites: JavaScript, optional Ruby on Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Use the JavaScript Spectral Workbench API and possibly some Ruby on Rails to develop a way to zero out baseline noise and input light source in the Spectral Workbench capture interface. This could simply involve storing the existing spectrum as an array and subtracting it from any new readings. It might involve a callback in the SpectralWorkbench API to filter incoming data from the device using a given function. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Spectral Workbench API v1.0 Description: Expand and refine the API to a version 1.0, cleaning up existing functions and providing functions and good documentation for basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search. Bonus: install an in-line JavaScript editor to make macro editing easier at https://spectralworkbench.org/macros List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Spectral Workbench API https://spectralworkbench.org/macros Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects MapMill Offline: cross-platform aerial image sorting app Description: a desktop app that helps you sort big batches of aerial images quickly, with built-in filters: Upon getting images from a camera: you'd plug the SD card in and drag the images into the app it'd plot the images' filesizes to help you find those with the sharpest focus it could do analysis to find if many images display the same region redundantly it'd offer to upload the images to MapKnitter for you as a batch, or copy them to a folder to share with other folks by SD card List: grassrootsmapping, publiclaboratory Prerequisites: desktop app design, or offline manifests for webapps Difficulty level: easy-medium Project: Android Aerial Acquisition App (Completed!) Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Capture gps and other sensor data (yaw, pitch, roll, etc.) and simultaneously drive an interface to trigger a pair of Canon cameras in synch using CHDK. Offer user the choice to also, or instead, just capture this data and trigger the phone camera at specified intervals. If can, write all the location and sensor data to the smartphone photo EXIFs. If not, at least write the basic gps data to the EXIF for each photo and capture all of it in a timestamped CVS file.This will allow the user to post-process the images, location and sensor data based on matching the timestamp of each image and the corresponding data point. Consider ways to accommodate and record additional sensor inputs such as temperature and barometric pressure sensor. See (http://publiclaboratory.org/notes/cfastie/10-8-2012/flight-temperature#comment-1635) CHDK on the cameras has remote triggering enabled, so the pair shoot on the second pulse. Being able to vary the interval between pulses could be useful to allow for camera model variations in time to respond to first pulse and then to save image, especially if shooting in RAW format (very big files). For example: wait a specified interval (maybe 2 seconds) after the first pulse and then signal the cameras to shoot, but then wait a longer specified interval (maybe 10-15 seconds more) to allow time to save image before sending the next pair of signals. http://www.palentier.com/ is relevant since it uses gps information and a set of photos to automatically display them on Google Earth. However, most geotagged images don't capture heading, which is necessary for auto-orienting the images. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Craig Versek ( cversek@physics.umass.edu), Jeff Warren (jeff@publiclaboratory.org)	Revert
219	warren	May 03, 2013 20:26 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Post your proposals on this page Who to contact with ideas/proposals Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Related to the SpectralWorkbench.org open source spectral analysis platform Links: https://spectralworkbench.org, http://github.com/jywarren/spectral-workbench GPLv3 Project: automated spectrometer calibration Description: Currently, in SpectralWorkbench.org, users manually click on known features in a fluorescent lightbulb spectrum to calibrate their spectrometer. Much better, easier, and more precise might be an automated way to pattern-match/recognize the mercury spectrum (such as this: ) and to auto-calibrate the spectrometer. The Capture interface could automatically recognize a mercury spectrum whenever you pointed the spectrometer at one, and prompt you to recalibrate. This could be developed in pure JavaScript using the Spectral Workbench API List: plots-spectrometry Links: http://publiclab.org/wiki/spectral-workbench-calibration http://publiclab.org/wiki/spectrometer https://github.com/jywarren/spectral-workbench/issues/45 Prerequisites: JavaScript, optional Ruby on Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Use the JavaScript Spectral Workbench API and possibly some Ruby on Rails to develop a way to zero out baseline noise and input light source in the Spectral Workbench capture interface. This could simply involve storing the existing spectrum as an array and subtracting it from any new readings. It might involve a callback in the SpectralWorkbench API to filter incoming data from the device using a given function. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Spectral Workbench API v1.0 Description: Expand and refine the API to a version 1.0, cleaning up existing functions and providing functions and good documentation for basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search. Bonus: install an in-line JavaScript editor to make macro editing easier at https://spectralworkbench.org/macros List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Spectral Workbench API https://spectralworkbench.org/macros Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Capture gps and other sensor data (yaw, pitch, roll, etc.) and simultaneously drive an interface to trigger a pair of Canon cameras in synch using CHDK. Offer user the choice to also, or instead, just capture this data and trigger the phone camera at specified intervals. If can, write all the location and sensor data to the smartphone photo EXIFs. If not, at least write the basic gps data to the EXIF for each photo and capture all of it in a timestamped CVS file.This will allow the user to post-process the images, location and sensor data based on matching the timestamp of each image and the corresponding data point. Consider ways to accommodate and record additional sensor inputs such as temperature and barometric pressure sensor. See (http://publiclaboratory.org/notes/cfastie/10-8-2012/flight-temperature#comment-1635) CHDK on the cameras has remote triggering enabled, so the pair shoot on the second pulse. Being able to vary the interval between pulses could be useful to allow for camera model variations in time to respond to first pulse and then to save image, especially if shooting in RAW format (very big files). For example: wait a specified interval (maybe 2 seconds) after the first pulse and then signal the cameras to shoot, but then wait a longer specified interval (maybe 10-15 seconds more) to allow time to save image before sending the next pair of signals. http://www.palentier.com/ is relevant since it uses gps information and a set of photos to automatically display them on Google Earth. However, most geotagged images don't capture heading, which is necessary for auto-orienting the images. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Craig Versek ( cversek@physics.umass.edu), Jeff Warren (jeff@publiclaboratory.org)	Revert
218	warren	April 26, 2013 19:51 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Who to contact with ideas/proposals Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Related to the SpectralWorkbench.org open source spectral analysis platform Links: https://spectralworkbench.org, http://github.com/jywarren/spectral-workbench GPLv3 Project: automated spectrometer calibration Description: Currently, in SpectralWorkbench.org, users manually click on known features in a fluorescent lightbulb spectrum to calibrate their spectrometer. Much better, easier, and more precise might be an automated way to pattern-match/recognize the mercury spectrum (such as this: ) and to auto-calibrate the spectrometer. The Capture interface could automatically recognize a mercury spectrum whenever you pointed the spectrometer at one, and prompt you to recalibrate. This could be developed in pure JavaScript using the Spectral Workbench API List: plots-spectrometry Links: http://publiclab.org/wiki/spectral-workbench-calibration http://publiclab.org/wiki/spectrometer https://github.com/jywarren/spectral-workbench/issues/45 Prerequisites: JavaScript, optional Ruby on Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Use the JavaScript Spectral Workbench API and possibly some Ruby on Rails to develop a way to zero out baseline noise and input light source in the Spectral Workbench capture interface. This could simply involve storing the existing spectrum as an array and subtracting it from any new readings. It might involve a callback in the SpectralWorkbench API to filter incoming data from the device using a given function. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Spectral Workbench API v1.0 Description: Expand and refine the API to a version 1.0, cleaning up existing functions and providing functions and good documentation for basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search. Bonus: install an in-line JavaScript editor to make macro editing easier at https://spectralworkbench.org/macros List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Spectral Workbench API https://spectralworkbench.org/macros Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Capture gps and other sensor data (yaw, pitch, roll, etc.) and simultaneously drive an interface to trigger a pair of Canon cameras in synch using CHDK. Offer user the choice to also, or instead, just capture this data and trigger the phone camera at specified intervals. If can, write all the location and sensor data to the smartphone photo EXIFs. If not, at least write the basic gps data to the EXIF for each photo and capture all of it in a timestamped CVS file.This will allow the user to post-process the images, location and sensor data based on matching the timestamp of each image and the corresponding data point. Consider ways to accommodate and record additional sensor inputs such as temperature and barometric pressure sensor. See (http://publiclaboratory.org/notes/cfastie/10-8-2012/flight-temperature#comment-1635) CHDK on the cameras has remote triggering enabled, so the pair shoot on the second pulse. Being able to vary the interval between pulses could be useful to allow for camera model variations in time to respond to first pulse and then to save image, especially if shooting in RAW format (very big files). For example: wait a specified interval (maybe 2 seconds) after the first pulse and then signal the cameras to shoot, but then wait a longer specified interval (maybe 10-15 seconds more) to allow time to save image before sending the next pair of signals. http://www.palentier.com/ is relevant since it uses gps information and a set of photos to automatically display them on Google Earth. However, most geotagged images don't capture heading, which is necessary for auto-orienting the images. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Craig Versek ( cversek@physics.umass.edu), Jeff Warren (jeff@publiclaboratory.org)	Revert
217	patcoyle	April 24, 2013 20:09 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Who to contact with ideas/proposals Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Related to the SpectralWorkbench.org open source spectral analysis platform Links: https://spectralworkbench.org, http://github.com/jywarren/spectral-workbench GPLv3 Project: automated spectrometer calibration Description: Currently, in SpectralWorkbench.org, users manually click on known features in a fluorescent lightbulb spectrum to calibrate their spectrometer. Much better, easier, and more precise might be an automated way to pattern-match/recognize the mercury spectrum (such as this: ) and to auto-calibrate the spectrometer. The Capture interface could automatically recognize a mercury spectrum whenever you pointed the spectrometer at one, and prompt you to recalibrate. This could be developed in pure JavaScript using the Spectral Workbench API List: plots-spectrometry Links: http://publiclab.org/wiki/spectral-workbench-calibration http://publiclab.org/wiki/spectrometer https://github.com/jywarren/spectral-workbench/issues/45 Prerequisites: JavaScript, optional Ruby on Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Use the JavaScript Spectral Workbench API and possibly some Ruby on Rails to develop a way to zero out baseline noise and input light source in the Spectral Workbench capture interface. This could simply involve storing the existing spectrum as an array and subtracting it from any new readings. It might involve a callback in the SpectralWorkbench API to filter incoming data from the device using a given function. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Spectral Workbench API v1.0 Description: Expand and refine the API to a version 1.0, cleaning up existing functions and providing functions and good documentation for basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search. Bonus: install an in-line JavaScript editor to make macro editing easier at https://spectralworkbench.org/macros List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Spectral Workbench API https://spectralworkbench.org/macros Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Capture gps and other sensor data (yaw, pitch, roll, etc.) and simultaneously drive an interface to trigger a pair of Canon cameras in synch using CHDK. Offer user the choice to also, or instead, just capture this data and trigger the phone camera at specified intervals. If can, write all the location and sensor data to the smartphone photo EXIFs. If not, at least write the basic gps data to the EXIF for each photo and capture all of it in a timestamped CVS file.This will allow the user to post-process the images, location and sensor data based on matching the timestamp of each image and the corresponding data point. Consider ways to accommodate and record additional sensor inputs such as temperature and barometric pressure sensor. See (http://publiclaboratory.org/notes/cfastie/10-8-2012/flight-temperature#comment-1635) CHDK on the cameras has remote triggering enabled, so the pair shoot on the second pulse. Being able to vary the interval between pulses could be useful to allow for camera model variations in time to respond to first pulse and then to save image, especially if shooting in RAW format (very big files). For example: wait a specified interval (maybe 2 seconds) after the first pulse and then signal the cameras to shoot, but then wait a longer specified interval (maybe 10-15 seconds more) to allow time to save image before sending the next pair of signals. http://www.palentier.com/ is relevant since it uses gps information and a set of photos to automatically display them on Google Earth. However, most geotagged images don't capture heading, which is necessary for auto-orienting the images. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org)	Revert
216	warren	April 20, 2013 18:00 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Who to contact with ideas/proposals Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Related to the SpectralWorkbench.org open source spectral analysis platform Links: https://spectralworkbench.org, http://github.com/jywarren/spectral-workbench GPLv3 Project: automated spectrometer calibration Description: Currently, in SpectralWorkbench.org, users manually click on known features in a fluorescent lightbulb spectrum to calibrate their spectrometer. Much better, easier, and more precise might be an automated way to pattern-match/recognize the mercury spectrum (such as this: ) and to auto-calibrate the spectrometer. The Capture interface could automatically recognize a mercury spectrum whenever you pointed the spectrometer at one, and prompt you to recalibrate. This could be developed in pure JavaScript using the Spectral Workbench API List: plots-spectrometry Links: http://publiclab.org/wiki/spectral-workbench-calibration http://publiclab.org/wiki/spectrometer https://github.com/jywarren/spectral-workbench/issues/45 Prerequisites: JavaScript, optional Ruby on Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Use the JavaScript Spectral Workbench API and possibly some Ruby on Rails to develop a way to zero out baseline noise and input light source in the Spectral Workbench capture interface. This could simply involve storing the existing spectrum as an array and subtracting it from any new readings. It might involve a callback in the SpectralWorkbench API to filter incoming data from the device using a given function. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Spectral Workbench API v1.0 Description: Expand and refine the API to a version 1.0, cleaning up existing functions and providing functions and good documentation for basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search. Bonus: install an in-line JavaScript editor to make macro editing easier at https://spectralworkbench.org/macros List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Spectral Workbench API https://spectralworkbench.org/macros Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org)	Revert
215	warren	April 20, 2013 17:55 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): People registering on PublicLaboratory.org are auto-subscribed to these lists (you can uncheck if you want). publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: automated spectrometer calibration Description: Currently, in SpectralWorkbench.org, users manually click on known features in a fluorescent lightbulb spectrum to calibrate their spectrometer. Much better, easier, and more precise might be an automated way to pattern-match/recognize the mercury spectrum (such as this: ) and to auto-calibrate the spectrometer. The Capture interface could automatically recognize a mercury spectrum whenever you pointed the spectrometer at one, and prompt you to recalibrate. This could be developed in pure JavaScript using the Spectral Workbench API List: plots-spectrometry Links: http://publiclab.org/wiki/spectral-workbench-calibration http://publiclab.org/wiki/spectrometer https://github.com/jywarren/spectral-workbench/issues?labels=calibration&page=1&state=open Prerequisites: JavaScript, optional Ruby on Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Use the JavaScript Spectral Workbench API and possibly some Ruby on Rails to develop a way to zero out baseline noise and input light source in the Spectral Workbench capture interface. This could simply involve storing the existing spectrum as an array and subtracting it from any new readings. It might involve a callback in the SpectralWorkbench API to filter incoming data from the device using a given function. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Spectral Workbench API v1.0 Description: Expand and refine the API to a version 1.0, cleaning up existing functions and providing functions and good documentation for basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search. Bonus: install an in-line JavaScript editor to make macro editing easier at https://spectralworkbench.org/macros List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Spectral Workbench API https://spectralworkbench.org/macros Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org)	Revert
214	warren	April 20, 2013 15:33 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): People registering on PublicLaboratory.org are auto-subscribed to these lists (you can uncheck if you want). publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org)	Revert
213	warren	April 20, 2013 15:33 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Start Project ideas and discussions on the appropriate Public Lab discussion lists (see each project idea for which to use): People registering on PublicLaboratory.org are auto-subscribed to these lists (you can uncheck if you want). publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (18 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 List: plots-spectrometry Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. List: plots-spectrometry Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Mapmaking Projects Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, taking a photograph automatically every 5-10 seconds, for attaching to a kite or balloon to take aerial photos. using accelerometer to take images only when the camera is not swinging (we usually hang the camera from a kite or balloon so pictures can be motion-blurry) auto-discard (or at least mark) blurry images auto-emailing previews of pictures to a given address so they can be viewed while the Android phone is in the air (and so that the camera can be found if it's lost: email could have GPS coords) tilt/compass data embedded as EXIF tags Bonus feature: KML output for the image overlay locations. Info that'd be useful just before you launch: * wind direction for your location (and/or a link to a website that shows it for any location) * a link to our website for getting the materials to do a balloon or kite flight http://publiclab.org/wiki/balloon-mapping For after a flight (these are easy; just text and links): * a link to MapKnitter.org and basic outline of how to make your images into a map List: grassrootsmapping, publiclaboratory Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination List: publiclaboratory, grassrootsmapping Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. List: publiclaboratory, grassrootsmapping Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination List: publiclaboratory, grassrootsmapping, plots-infrared Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. List: publiclaboratory, plots-infrared Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0) Description: A simpler version of MapKnitter.org which streamlines the process of turning an aerial image into a georectified map -- this could use all the existing backend systems of MapKnitter, but would dramatically simplify the process of making a map out of a single image. It could even be done from a mobile phone. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Ruby/Ruby on Rails, JavaScript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: MapKnitter.org is built on lots of old, legacy code and uses OpenLayers for it's editing interface. We would like to port the editor (and the image-distortion interface) to Leaflet, and the first step would be to port the image distortion class (and matrix class) currently used in MapKnitter into a new Leaflet plugin. List: publiclaboratory, grassrootsmapping Links: https://github.com/jywarren/mapknitter/, https://github.com/jywarren/mapknitter/tree/master/public/cartagen/src/warper Prerequisites: Javascript Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: MapMill uses vast amounts of storage and we can't support large #s of uploads currently; this is better security and archiving too. Probably use paperclip gem in Rails along with jQuery Multiple File Upload: http://blueimp.github.io/jQuery-File-Upload/ So, batch upload with progress bars for each image. List: grassrootsmapping Links: http://github.com/jywarren/mapmill, https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, jQuery, Amazon S3 Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter List: grassrootsmapping Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: JavaScript, Ruby on Rails Difficulty level: Easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page List: plots-infrared, publiclaboratory Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org)	Revert
212	gonzoearth	April 20, 2013 05:11 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Start Project ideas and discussions in the Public Lab discussion lists: People registering on PublicLaboratory.org are auto-subscribed to these lists (you can uncheck if you want). publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (353 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: TBD Difficulty level: TBD Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
211	gonzoearth	April 20, 2013 05:11 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Start Project ideas and discussions in the Public Lab Main lists: People registering on PublicLaboratory.org are auto-subscribed to these lists (you can uncheck if you want). publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (353 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: TBD Difficulty level: TBD Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
210	gonzoearth	April 20, 2013 05:09 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Start Project ideas and discussions in the Public Lab Main lists: People registering on PublicLaboratory.org are auto-subscribed to these lists (you can uncheck if you want). publiclaboratory - the main PLOTS list; if in doubt, post here! (1052 members as of 2/21) grassrootsmapping - balloon and kite-mapping specific list. Lots of healthy overlap with publiclaboratory (784 members as of 2/21) plots-spectrometry - spectrometry and spectral analysis discussion list. Lots of healthy overlap with publiclaboratory (439 members as of 2/21) plots-infrared - near-infrared and vegetation monitoring discussion list. Lots of healthy overlap with publiclaboratory (353 members as of 1/13) laboratoriopublico - la lista de correo en castellano -- inactivo por ahora Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: TBD Difficulty level: TBD Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
209	warren	April 19, 2013 22:17 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org Description: A fuller mobile implementation of SpectralWorkbench would be a great, and might share a lot with the iOS project above or simply be a complete refit of the web-based version (https://spectralworkbench.org/capture, visit on Android device), since webcam APIs are now supported on versions of Chrome, Opera, and Firefox on Android. Links: https://github.com/jywarren/spectral-workbench/issues/205 Prerequisites: JavaScript, Bootstrap, HTML/CSS, some Ruby on Rails, familiarity with getUserMedia() webcam API Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclab.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: TBD Difficulty level: TBD Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
208	warren	April 19, 2013 22:10 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: TBD Difficulty level: TBD Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Web service to composite infrared and visible images Revised from "Update code to composite side-by-side video from a webcam" Description: Create a simple web service for people to upload 2 images -- one near-infrared and one visible -- which auto-aligns them and provides a composite image such as described on the Near-infrared Camera page Prerequisites: web programming -- HTML/CSS and some server side system (Python, Ruby, PHP, etc), ImageMagick or another image handling library Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
207	patcoyle	April 19, 2013 21:42 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Improve warnings and provide alternatives when too many images to export a map with MapKnitter Description: One approach could be to warn user the number of images is more than can be exported and offer capability to clone map so user can delete images reduce the number to an exportable number. Another could warn user maximum number of images has been reached and not allow additional ones to be uploaded. Links: TBD Prerequisites: TBD Difficulty level: TBD Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org), Pat Coyle (pat@coyles.com) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Update code to composite side-by-side video from a webcam Description: The code works for dual webcams, but must be adapted for imagery from a single webcam, split horizontally. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
206	warren	April 19, 2013 20:10 \| almost 11 years ago This is the ideas page for Public Lab's Google Summer of Code program. Many are slightly out of date or need updating; please go ahead and edit these if you see things that need changing. See our 2013 GSOC page for more details. Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Update code to composite side-by-side video from a webcam Description: The code works for dual webcams, but must be adapted for imagery from a single webcam, split horizontally. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
205	gonzoearth	April 17, 2013 06:59 \| about 11 years ago Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: https://github.com/jywarren/spectral-workbench/issues?labels=matching&page=1&state=open Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: https://github.com/jywarren/mapknitter/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Javascript Difficulty level: Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Update code to composite side-by-side video from a webcam Description: The code works for dual webcams, but must be adapted for imagery from a single webcam, split horizontally. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
204	gonzoearth	April 17, 2013 06:52 \| about 11 years ago Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: https://github.com/jywarren/spectral-workbench/issues/119 https://github.com/jywarren/spectral-workbench/issues/61 https://github.com/jywarren/spectral-workbench/issues/44 Prerequisites: Difficulty level: Easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: offline version of SpectralWorkbench Description: We need an offline version of spectralworkbench.org, , hopefully based on our HTML/JavaScript code. Links: https://github.com/jywarren/spectral-workbench/issues/74 https://github.com/jywarren/spectral-workbench/issues/73 Prerequisites: Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: iOS version of SpectralWorkbench in PhoneGap Description: The current mobile version is web-based, and only runs on Opera for Android right now. But it is pretty nice: https://spectralworkbench.org/capture. The ideal is to wrap this already-working system in a native app so that any future interface changes can simply be pushed out on all platforms at once. Links: https://github.com/jywarren/spectral-workbench/issues/116 Prerequisites: PhoneGap, Cordova Difficulty level: Medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: auto-geocoding of images Description: Links: Prerequisites: Difficulty level: Mentor: Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: Prerequisites: Difficulty level: Mentor: Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Difficulty level: Mentor: Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Update code to composite side-by-side video from a webcam Description: The code works for dual webcams, but must be adapted for imagery from a single webcam, split horizontally. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
203	gonzoearth	April 17, 2013 06:37 \| about 11 years ago Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: Prerequisites: Difficulty level: Mentor: Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: Prerequisites: Difficulty level: Mentor: Project: offline version of SpectralWorkbench, hopefully based on our HTML/JavaScript code Description: Links: Prerequisites: Difficulty level: Mentor: Project: iOS version of SpectralWorkbench in PhoneGap Description: Links: Prerequisites: Difficulty level: Mentor: Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: auto-geocoding of images Description: Links: Prerequisites: Difficulty level: Mentor: Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: Prerequisites: Difficulty level: Mentor: Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Difficulty level: Mentor: Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: MapMill.org crowdsourced image sorting. Bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Links: http://github.com/jywarren/mapmill Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Update code to composite side-by-side video from a webcam Description: The code works for dual webcams, but must be adapted for imagery from a single webcam, split horizontally. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
202	gonzoearth	April 17, 2013 06:24 \| about 11 years ago Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: Prerequisites: Difficulty level: Mentor: Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: Prerequisites: Difficulty level: Mentor: Project: offline version of SpectralWorkbench, hopefully based on our HTML/JavaScript code Description: Links: Prerequisites: Difficulty level: Mentor: Project: iOS version of SpectralWorkbench in PhoneGap Description: Links: Prerequisites: Difficulty level: Mentor: Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. Align pairs of overlapping visible and near IR photographs Crop the result to the area of overlap Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. Modify the assignment of colors to the NDVI values Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error Interactively display the NDVI value for mouse-selected pixels or polygons Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: auto-geocoding of images Description: Links: Prerequisites: Difficulty level: Mentor: Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: Prerequisites: Difficulty level: Mentor: Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Difficulty level: Mentor: MapMill.org crowdsourced image sorting http://github.com/jywarren/mapmill Project: shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis Code at https://github.com/jywarren/infrared-visible-video-kit MIT license Project: Update code to composite side-by-side video from a webcam Description: The code works for dual webcams, but must be adapted for imagery from a single webcam, split horizontally. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org)	Revert
201	gonzoearth	April 17, 2013 06:18 \| about 11 years ago Spectrometry Projects Spectral Workbench open source spectral analysis Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/spectral-workbench GPLv3 Project: import open spectral databases Description: Determine which spectral databases can be used in an open source manner (such as perhaps the HITRAN and ASTER datasets) and import them, tagging them with their source and relevant metadata. Focus on near-infrared, visible, and ultraviolet ranges. Links: https://github.com/jywarren/spectral-workbench/issues/54 Prerequisites: Ruby/Rails, familiarity with open data licensing and database parsing/scripting Difficulty level: easy Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: find closest matched spectra from database Description: Given a spectrum from http://SpectralWorkbench.org, develop a search function for similar spectra. Links: https://github.com/jywarren/spectral-workbench/issues/53 Prerequisites: Ruby/Rails, some familiarity with (spectral) pattern matching Difficulty level: hard Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: Baseline Macro to reset a baseline light source Description: Links: Prerequisites: Difficulty level: Mentor: Project: API v1.0 - basic spectrometry analysis, data manipulation and visualization tools for the spectral data matching/search Description: Links: Prerequisites: Difficulty level: Mentor: Project: offline version of SpectralWorkbench, hopefully based on our HTML/JavaScript code Description: Links: Prerequisites: Difficulty level: Mentor: Project: iOS version of SpectralWorkbench in PhoneGap Description: Links: Prerequisites: Difficulty level: Mentor: Map Projects MapKnitter open source image rectification and GIS Goal: spectrum pattern matching to identify oil contamination Links: http://github.com/jywarren/mapknitter * GPLv3 Project: optimize and improve high-resolution stitching interface Description: This could take the form of several ideas/approaches -- from caching the warped images as dataURLs in the canvas element to speed up interactivity, to implementing the Client Zoom feature in the most recent OpenLayers. Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable Goal: identify wetlands species and/or oil contamination Links: http://github.com/jywarren/clashifier * GPLv3 Description: Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes. Links: https://github.com/jywarren/clashifier/issues/4 https://github.com/jywarren/clashifier/issues/3 Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: add annotations layer to Mapknitter Description: This could include adding polygonal overlays to highlight regions, adding notes, and linking discussions/data directly into maps. Links: https://github.com/jywarren/spectral-workbench/issues/89 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org) Project: georeferencing in Mapknitter without base image data Description: investigate and implement different methods of georeferencing images besides overlaying on existing aerial data. GPS, ground-target, or EXIF-embedded data could all be used. Links: https://github.com/jywarren/mapknitter/issues/64 https://github.com/jywarren/mapknitter/issues/10 https://github.com/jywarren/mapknitter/issues/65 https://github.com/jywarren/mapknitter/issues/73 Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org), Stewart Long (stewart@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: Align and analyze overlapping visible and near infra-red images Description: A utility to process large numbers (dozens or hundreds) of pairs of visible and infra-red images, including those taken by users with matched visible and IR cameras. The utility could automate a subset of the processes below. It could be based on the experimental multispectral features of MapKnitter, with a focus on analysis and NDVI. Such a utility could greatly improve the quality, consistency, and usefulness of the NDVI maps made by Grassroots Mappers. * Align pairs of overlapping visible and near IR photographs * Crop the result to the area of overlap * Compute NDVI for each pixel of the layered image and produce a third layer of the NDVI values. * Modify the assignment of colors to the NDVI values * Downsample the NDVI layer by averaging (e.g., blocks of 4 to 256 pixels) to account for alignment error * Interactively display the NDVI value for mouse-selected pixels or polygons * Output the NDVI layer (e.g., as jpeg) for aligning with adjacent overlapping images (e.g., MapKnitter) or stitching into a seamless aerial image (e.g., MS ICE, Gigapan Stitch) Prerequisites: JavaScript/Prototype/Canvas element, Ruby/Rails, GDAL and/or ImageMagick/RMagick, familiarity with remote sensing would be nice Difficulty level: hard Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org), Ned Horning (horning@amnh.org) Project: auto-geocoding of images Description: Links: Prerequisites: Difficulty level: Mentor: Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype MapKnitter 2.0) Description: Links: Prerequisites: Difficulty level: Mentor: Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet Description: Links: Prerequisites: Difficulty level: Mentor: MapMill.org crowdsourced image sorting http://github.com/jywarren/mapmill Project: shift image storage to Amazon S3 Description: We can't support large #s of uploads otherwise, and this is better security and archiving too. Probably use paperclip gem in Rails. Prerequisites: Ruby on Rails, Ruby, ImageMagick/RMagick Difficulty level: medium Mentor: Jeff Warren (jeff@publiclaboratory.org) Project: bulk multifile upload, like Hyper3d.com Description: Batch upload (may require above s3 project) with progress bars for each image. See https://github.com/jywarren/mapmill/issues/6 Prerequisites: Ruby on Rails, Ruby, Javascript/jQuery or Prototype Difficulty level: easy Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Infrared Projects Android phone-based NDVI/NRG infrared vegetation analysis * Code at https://github.com/jywarren/infrared-visible-video-kit * MIT license Project: Update code to composite side-by-side video from a webcam Description: The code works for dual webcams, but must be adapted for imagery from a single webcam, split horizontally. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Interface design and NDVI readout, image storage Description: A numerical NDVI readout averaging NDVI values for the whole video frame, plus buttons to switch between NDVI and NRG mode. A way to save/share images taken with the software. Prerequisites: Processing and/or Java (very easy) Difficulty level: easy Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: adapt Android video interface Description: Get the app running in Android to connect to the Android video class, abstracting so that it works on desktop and mobile devices. Prerequisites: Processing and/or Java, Android Difficulty level: medium Mentor: Arlene Ducao (arlduc@mit.edu), Jeff Warren (jeff@publiclaboratory.org) Project: Android Aerial Acquisition App Description: Android app that does continuaous image shooting, assingning geodata to each image exif. Bonus feature; KML output for the image overlay locations. Prerequisites: Processing and/or Java, Android Difficulty level: easy-medium Mentor: Stewart Long (stewart@publiclaboratory.org), Jeff Warren (jeff@publiclaboratory.org) Details about the problem	Revert

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Public Lab Wiki documentation

Revisions for SoC ideas

Who to contact with ideas/proposals

Spectrometry Projects

Project: automated spectrometer calibration

Project: import open spectral databases

Project: find closest matched spectra from database

Project: Baseline Macro to reset a baseline light source

Project: Spectral Workbench API v1.0

Project: offline version of SpectralWorkbench

Project: iOS version of SpectralWorkbench in PhoneGap

Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org

Mapmaking Projects

MapMill Offline: cross-platform aerial image sorting app

Project: Android Aerial Acquisition App (Completed!)

Project: optimize and improve high-resolution stitching interface

Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable

Project: add annotations layer to Mapknitter

Project: georeferencing in Mapknitter without base image data

Project: Align and analyze overlapping visible and near infra-red images

Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0)

Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet

Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3

Improve warnings and provide alternatives when too many images to export a map with MapKnitter

Infrared Projects

Project: Web service to composite infrared and visible images

Who to contact with ideas/proposals

Spectrometry Projects

Project: automated spectrometer calibration

Project: import open spectral databases

Project: find closest matched spectra from database

Project: Baseline Macro to reset a baseline light source

Project: Spectral Workbench API v1.0

Project: offline version of SpectralWorkbench

Project: iOS version of SpectralWorkbench in PhoneGap

Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org

Mapmaking Projects

Project: Android Aerial Acquisition App

Project: optimize and improve high-resolution stitching interface

Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable

Project: add annotations layer to Mapknitter

Project: georeferencing in Mapknitter without base image data

Project: Align and analyze overlapping visible and near infra-red images

Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0)

Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet

Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3

Improve warnings and provide alternatives when too many images to export a map with MapKnitter

Infrared Projects

Project: Web service to composite infrared and visible images

Who to contact with ideas/proposals

Spectrometry Projects

Project: automated spectrometer calibration

Project: import open spectral databases

Project: find closest matched spectra from database

Project: Baseline Macro to reset a baseline light source

Project: Spectral Workbench API v1.0

Project: offline version of SpectralWorkbench

Project: iOS version of SpectralWorkbench in PhoneGap

Project: Mobile interface and cross-mobile-browser compatibility for SpectralWorkbench.org

Mapmaking Projects

Project: Android Aerial Acquisition App

Project: optimize and improve high-resolution stitching interface

Project: Clashifier open source image classification. abstract Classifiers class to make different classifiers more pluggable

Project: add annotations layer to Mapknitter

Project: georeferencing in Mapknitter without base image data

Project: Align and analyze overlapping visible and near infra-red images

Project: ability to upload just an image without making a map (drag-drop or from a phone), and it auto-geocodes and starts a map for you (prototype for MapKnitter.org 2.0)

Project: implementing rubbersheeting in Leaflet, as a first step to porting the whole interface to Leaflet

Project: MapMill.org crowdsourced image sorting. Shift image storage to Amazon S3

Improve warnings and provide alternatives when too many images to export a map with MapKnitter

Infrared Projects

Project: Web service to composite infrared and visible images

Who to contact with ideas/proposals

Spectrometry Projects

Project: automated spectrometer calibration

Project: import open spectral databases

Project: find closest matched spectra from database

Project: Baseline Macro to reset a baseline light source

Project: Spectral Workbench API v1.0

Project: offline version of SpectralWorkbench