Multispectral imaging

The Public Lab near infrared imaging project is an open source community effort to modify consumer cameras to capture near infrared imagery for a range of purposes, including plant health. All open or accessible near infrared imaging hardware and software efforts are welcome here! **Join in by:** * Reading about goals and asking great questions * Converting a camera using one of our starter kits * Trying (and critiquing) our community-made how-to guides * Posting your own how-to guides and mods * Building on others’ work; hack and remix the kits to refine and expand them * (proposed?) Submit your improvements for inclusion in an upcoming starter kit release or add-on * (proposed?) Serve on a Research Review Group for a 3 month period ## Activities This is a list of community-generated guides for specific applications using your near-infrared imaging setup (either a camera you converted yourself with a filter pack, a ready-made near-infrared camera, or double camera setup). Some may be more reproduced -- or reproducible -- than others. Try them out to build your skills, and help improve them by leaving comments. Together, we can repeat and refine the activities into experiments. [activities:multispectral-imaging] Add your guide here Request a guide _Guides should include a materials list and a step-by-step construction guide with photo documentation. See an example._ **** ## Hardware Mods Have you added to your starter kit, improved it, or redesigned it? Show others how to take it to the next level by posting a build guide here: [upgrades:multispectral-imaging] Add your hardware modification here Request a hardware modification _Upgrades should include a parts list and a step-by-step construction guide with photo documentation. See an example._ **** ## Builds There’s a lot going on in open source near-infrared imaging -- if you’ve developed another open source design you’d like to show others how to construct, post it here! * Rasberry Pi NoIR * X * XX **** ## Choosing a tool / Starter Kits The question to start with is whether you can capture all the channels you need for your research question with a single converted camera or whether you should use a dual camera rig with one converted camera and one unconverted. That choice plays out in terms of what filter (blue or red) to use for converting your camera. Public Lab’s Kits initiative offers several starter kits, one with the basic components and instructions for converting your own digital camera to capture near-infrared imagery and a second option -- a readymade lightweight near-infrared camera. The point of the kits is to lower the barrier to capturing your own near-infrared imagery. * **The Infragram filter pack** is our least expensive way to get started with near-infrared imaging, but it does require an afternoon and some technical work to perform the camera conversion yourself. ... etc etc etc **[Visit the Infragram DIY filter pack]()** * **The Infragram point and shoot** is a Mobius camera that we worked with a factory to modify. ... etc etc etc **[Visit the Infragram Point&Shoot page](/wiki/infragram-point-shoot)** **** ## Processing near-infrared imagery 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. In-depth articles on the technique by Chris Fastie can be found here: * * **** ## Software How to process your images: 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: * The **easiest way** is to process your images online at the free, open source []( * [Ned Horning's](/profile/nedhorning) [PhotoMonitoring plugin](/wiki/photo-monitoring-plugin) * Manual processing * [in Photoshop](/notes/warren/10-25-2011/video-tutorial-creating-infrared-composites-aerial-wetlands-imagery) * [or GIMP](/notes/warren/10-27-2011/video-tutorial-creating-false-color-ndvi-aerial-wetlands-imagery) * Command-line processing of single images and rendering of movies using a Python script: Source code is [here]( and here: [here]( * For those who use the webcam and have a Python interpreter, there are some image processing codes available at [Python Webcam Codes](/wiki/python-webcam-codes) * Using (deprecated) **** ## Comparison to standard tools Infrared imagery for agricultural and ecological assessment is usually captured from satellites and planes, and the information is used mainly by large farms, vineyards, and academic research projects. For example, see this illustrated [PDF, page 210]( from a commercial imagery provider who has been studying the usefulness of infrared imagery and has quotes from farmers who make use of it. 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. **** ## Frequently Asked Questions Ask a question about multispectral-imaging Get notified of new questions and help out [notes:question:multispectral-imaging] ...

Author Comment Last activity Moderation
ClairKag "Dear friends, We will create your own cryptocurrency and NFT for your projects! (NFT,DND,ERC20,BEP20,Polygon,Heco,Arbitrum,Moonriver,OKC,BOBA,Optim..." | Read more » 3 months ago
jdetka "Is there a way to run the infragram code locally on a PC? I'll be in a region that doesn't have internet but I still want to be able to analyze ima..." | Read more » 4 months ago
allifemats "Thump provide mobile grow rack,grow tent system,pollen trim tray and square pots for cannabis grow system. " | Read more » 10 months ago
warren "Hi @Rick88 your image looks OK - but your infrared image may benefit from being white balanced - there are some good resources here at #white-balan..." | Read more » 11 months ago
Rick88 "Hi Warren, I followed through your tutorial. Here is the VIS and NIR images that I captured VIS Image NIR Image This the output generated wi..." | Read more » 11 months ago
utobolearning "The results look great after implementation of this system. Can you please give me some information on how much it cost to buy or if i want to buil..." | Read more » almost 2 years ago
utobolearning "This is totally new topic for me. I am learning lot of things so this is also the New. utobo " | Read more » almost 2 years ago
amocorro "@ektopyrotic - feel free to create a project page around this! More about project page and how to create your own here:" | Read more » about 2 years ago
ektopyrotic "@mimiss here is the link to the GitHub repository in which I will be sharing all current and future developments of this image processing project u..." | Read more » about 2 years ago
ektopyrotic "@mimiss thank you. I am using 2 filters, one is a UV band-pass filter that is made of glass that works at about 380nm, so near-UV, the other is a t..." | Read more » about 2 years ago
mimiss "This is a super cool project and I'm looking forward to seeing your updates. For this project, what type of UV filters are you using? Do you have a..." | Read more » about 2 years ago
warren "Hi, you can use this simpler sequence for that:,colormap This will just apply NDVI and the c..." | Read more » almost 3 years ago
ThomasTaufan "how to process single multispectral image with the modified webcam and red filter? Because when I saw your example, it is processing 2 images that ..." | Read more » almost 3 years ago
MaggPi " @petter_mansson1 It has taken me a while to get up to speed on your work. There are differences and similarities between our efforts. Please..." | Read more » over 3 years ago
petter_mansson1 " This looks very interesting. I'm currently doing research within the same area" | Read more » over 3 years ago
CD3000 " MaggPi very interesting project. Was there a link for status/instructions? I also noticed David Prutchi of Hacketeria had an interesting multi-b..." | Read more » almost 4 years ago
CD3000 "Very beautiful observation! My hypothesis is that chloroplast density is less in new vegetation, but also reflectance/absorbance/transmittance is ..." | Read more » almost 4 years ago
warren "I posted an activity for doing NDVI-like work using a camera like this -- with a coefficient (on the output of NDVI, so like "boosted" NDVI) here: ..." | Read more » about 4 years ago
cheneyshreve ":smiley: " | Read more » about 4 years ago
warren "Just a note to self - as we plan out auto-registration features for this, could be good to look at #image-registration ! " | Read more » about 4 years ago
warren "Cool! We've tested blue filters with Raspberry Pi cameras, and it works well although the separate camera technique does result in cleaner separati..." | Read more » over 4 years ago
xose "During the leptos development we bought this board. We'are now playing with a point and shoot NDVI with raspi. I'll give the "IVMECH" board a chanc..." | Read more » over 4 years ago
tech4gt "This is so cool @warren " | Read more » over 4 years ago
warren "@imvec @xose too! " | Read more » over 4 years ago