Public Lab Wiki documentation



Near-Infrared Camera

233,313 views | Last edited by warren almost 3 years ago | #59


More research on "near-infrared-camera" »


Title URL Last edited Edits Page Views Likes
NDVI and NRG /wiki/ndvi about 2 years ago by warren 21 1,747 6
WATERCHESTNUTS /wiki/waterchestnuts about 2 years ago by warren 44 11,770 87
Infragram /wiki/infragram over 2 years ago by warren 93 72,142 11
Infragram convertible cameras /wiki/infragram-convertible-cameras over 2 years ago by jenjimah 85 52,562 5
Near-Infrared Camera /wiki/near-infrared-camera almost 3 years ago by warren 105 233,313 10
White balance for NDVI cameras /wiki/infrablue-white-balance about 3 years ago by cfastie 10 10,015 2
NDVI from the PLOTS near infrared camera /wiki/ndvi-plots-ir-kit over 3 years ago by cfastie 35 38,572 2
Infragram Sandbox /wiki/infragram-sandbox almost 4 years ago by liz 6 16,477 2
Public Lab Lesson 3: Photography in a New Light /wiki/public-lab-lesson-3-photography-in-a-new-light about 4 years ago by gretchengehrke 15 6,725 5

The Infragram Kickstarter video, a great introduction to the project.

Introduction

Vineyards, large farms, and NASA all use near-infrared photography for assessing plant health, usually by mounting expensive sensors on airplanes and satellites. At Public Lab, we've developed a Do-It-Yourself way to take these kinds of photos, enabling us to monitor our environment through quantifiable data.

Our technique uses a modified digital camera to capture near-infrared and blue light in the same image, but in different color channels. We then post-process the image (using Infragram.org) to attempt to infer how much it is photosynthesizing. This allows us to better understand and quantify how much of the available light plants are metabolizing into sugar via photosynthesis.

You can do this yourself (as with all Public Lab tools) but there is also an Infragram DIY Filter Pack available in the Public Lab Store.

We ran a Kickstarter for a version of this camera we call the Infragram. Read more about it here » Here's the video from the Kickstarter, which offers a nice visual explanation of the technique:


What is it good for?

Multispectral or infrared/visible photography has seen a variety of applications in the decades since it was developed. We have focused on the following uses:

  • Take pictures to examine plant health in backyard gardens, farms, parks, and nearby wetlands
  • Monitor your household plants
  • Teach students about plant growth and photosynthesis
  • Create exciting science fair projects
  • Generate verifiable, open environmental data
  • Check progress of environmental restoration projects
  • Document unhealthy areas of your local ecology (for instance, algal blooms)

Notable uses include this photograph of an unidentified plume of material in the Gowanus Canal (and writeup by TechPresident) and a variety of projects at a small farm in New Hampshire at the annual iFarm event. The Louisiana Universities Marine Consortium has also collaborated with Public Lab contributors to measure wetlands loss following the Deepwater Horizon oil disaster.

Here's an example of what one of our "Infragram" cameras sees (left) and the post-processing analysis which shows photosynthetic activity, or plant health (right). This picture was taken from a commercial airplane flight:

infragram

How does it work?

Camera modification: We've worked on several different techniques, from dual camera systems to the current, single-camera technique. This involves removing the infrared-blocking filter from almost any digital camera, and adding a specific blue filter.

swap.png

This filters out the red light, and measures infrared light in its place using a piece of carefully chosen "NGB" or "infrablue" filter. Read more about the development of this technique here. You can also learn more about how digital camera image sensors detect colors at this great tutorial by Bigshot.

Post-processing: Once you take a multispectral photograph with a modified camera, you must post-process it, compositing the infrared and visible data to generate a new image which (if it works) displays healthy, photosynthetically active areas as bright regions. An in-depth article on the technique by Chris Fastie (albeit using red instead of blue for visible light) can be found here.

History of the project: While we used to use a two-camera system, research by Chris Fastie and other Public Lab contributors have led to the use of a single camera which can image in both infrared and visible light simultaneously. The Infrablue filter is just a piece of carefully chosen theater gel which was examined using a DIY spectrometer. You can use this filter to turn most webcams or cheap point-and-shoots into an infrared/visible camera.

Background: satellite infrared imaging

The study of Earth's environment from space got its start in 1972 when the first Landsat satellite was launched. The multispectral scanner it carried, like the scanners on all subsequent Landsat satellites, recorded images with both visible and near infrared light. Remote sensing "scientists" quickly learned that by combining visible and infrared data, they could reveal critical information about the health of vegetation. For example, the normalized difference vegetation index (NDVI) highlights the difference between the red and infrared wavelengths that are reflected from vegetation. Because red light is used by plants for photosynthesis but infrared light is not, NDVI allows "scientists" to estimate the amount of healthy foliage in every satellite image. Thousands of "scientists", including landscape ecologists, global change biologists, and habitat specialists have relied on these valuable satellite-based NDVI images for decades.

There are public sources of infrared photography for the US available through the Department of Agriculture -- NAIP and Vegscape -- but this imagery is not collected when, as often, or at useable scale for individuals who are managing small plots.

ndvi-vis-comparison.jpg

Caption: Normal color photo (top) and normalized difference vegetation index (NDVI) image. NDVI image was derived from two color channels in a single photo taken with a camera modified with a special infrared filter. Note that tree trunks, brown grass, and rocks have very low NDVI values because they are not photosynthetic. Healthy plants typically have NDVI values between 0.1 and 0.9. Images by Chris Fastie. Visit the gallery of high-res images by Chris Fastie


Frequently Asked Questions

Ask a question about infrared imaging

Title Author Updated Likes
I need a help I'm doing a research project on NVDI processes @camiloreyes about 2 years ago
AstroPlant RPi sensory system @Sidney_AstroPlant about 2 years ago
"Test images" for multispectral image processing @warren about 2 years ago
Transmission & other related information of the Red Filter @suman over 2 years ago
I would like to know why near infared imaging works, and what it does. @kiramac over 2 years ago
GoPro Hero HD first version- Making full spectrum( Removing IR filter) @suman over 2 years ago
Can you process multiple images at the same time? @JonathanM32 over 2 years ago
PublicLab Mobius calibration @dbehr over 2 years ago
Video Infragram @jfd over 2 years ago
Question infragram kit @marfisistemidroni almost 3 years ago
What is the ideal white balance for the Infragam Point and Shoot? @abdul almost 3 years ago
Can anyone help me troubleshoot my NDVI imagery? @abdul almost 3 years ago
How to process images using a mobius with an IR lens? @miguel_rosas almost 3 years ago
MobiusActionCam vs S100 @ashwinvasudevan almost 3 years ago
what are the requirements of a camera for Filter replacement and NDVI imaging? @Ajith_Kumar almost 3 years ago
loading the proper camera driver for the DSK webcam @Winter almost 3 years ago
Correct Config. File & Trobule shooting2 @will123 almost 3 years ago
Don't know how to use DIY Plant Analysis Webcam @Barabba33 almost 3 years ago
Infragram Point and Shoot Plant Cam @alexrfholland almost 3 years ago
Question: Infragram point & shoot image @ino over 3 years ago
How can one Infragram photo produce different NDVI results? @cfastie over 3 years ago
Question: how to calculate NDVI @rajsan1108 almost 4 years ago
What is the correct interpretation for the NDVI infragram color scale? @DuvTorres about 4 years ago
Question: retrieving true color image from infragram images @brooksdr almost 5 years ago
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How to process your images

(this section is moved to and updated at http://publiclab.org/wiki/near-infrared-imaging)

We're working on an easy process to generate composite, infrared + visible images that will reveal new details of plant health and photosynthesis. There are several approaches:

Note: Older versions of this page have been kept at the following wiki page: http://publiclab.org/wiki/near-infrared-camera-history