> I'm using modified cameras from multicopter platforms and would like to > create NDVI false color footage. Generally, I'm using KDEnLive but I'm > also having an eye on Shortcut. > > NDVI imagery is usually created with a camera which has no IR cut filter > but an infrablue filter (e.g. Rosco 2007). The resulting footage has > visible light in the blue channel and IR in the red channel. > > You then take each channel, convert it to greyscale and create the NDVI > image according to this math: > > NDVI = (IR - VIS) / (IR + VIS)
What is the equation for VIS? "VIS = (G + B) / 2" ? Are negative NDVI values "rounded" to zero? > The resulting greyscale image is then usually luma-mapped to a gradient. > The luma-mapping is already available in the frei0r package (Color > Effect/heat). I've noticed that some people prefer a mapping that colors vegetation green. I doubt the frei0r heat map will do that. If someone goes through the trouble of making a filter for NDVI, it probably wouldn't be that hard to make a custom color map while they are at it. > Would MLT be the right point to have this math processing? Either MLT or Frei0r. The advantage of Frei0r is that the filter could be available in applications that don't use MLT (libav, etc). The disadvantage of Frei0r is that there doesn't seem to be much active development on it anymore. Maybe it has every filter anyone could ever want and doesn't have any bugs. Or maybe people have lost interest. I'm not sure how to tell. > Would anybody be interested in implementing it? I don't personally have any interest, but I could always be persuaded :) > NDVI imagery is a great tool for vegetation health assessment and since > it's nowadays very easy to hack all kinds of cameras to produce > infrablue imagery, it's quickly gaining popularity in the "grass-roots" > environmentalist scene. ~BM ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems _______________________________________________ Mlt-devel mailing list Mlt-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/mlt-devel
