##2011-2012 guides for making an infrared camera:##
We've been modifying cheap cameras to photograph in infrared (IR). The sensors in common digital cameras are sensitive to infrared, but come with a filter that blocks these wavelengths so that the photos look "normal" to us. Removing that filter allows us to pickup information in IR, and in that way begin to "see the invisible life of plants."
(note: this video was made when people were still putting the film negative on the outside of the camera lens. To put the film negative directly inside the camera, once you have the infrared filter removed, put your cut film negative where the filter was, replace the rubber gasket and continue with the steps in the video for reassembling.)
NDVI example:
NRG example:
##How to take infrared and visible photographs##
By putting both an infrared-pass filter and an infrared-block filter on the same camera, you can get both infrared and visible light with one photograph... though the areas don't overlap. This means you can get such imagery from the air using [balloon mapping](/tool/balloon-mapping), while only risking one camera. Another alternative is to use a [stereo camera](/tool/stereo-camera) system like the one being developed by the [New York City chapter](/place/new-york-city).
##Using Photoshop to do vegetation analysis with your pictures##
You can use Adobe Photoshop (or GIMP, for an open-source, free alternative) to composite an infrared and visible image to do vegetation/photosynthesis analysis. The example photos were taken from an airplane window by Stewart Long. For a more comprehensive description of this process, and alternative means to do this analysis, see the [infrared vegetation analysis activity](/wiki/infrared-vegetation-analysis-activity).
###Using MapKnitter to make infrared/visible composites###
If you captured infrared and visible pictures from a balloon or kite, you can stitch them into a map using mapknitter.org. Mapknitter supports [compsiting](/wiki/mapknitter-multispectral). It looks something like this, so far: