Hello Wolfram Community,
I want to take pictures of crops using a drone and better highlight the contrast between regions of healthy vegetation vs. areas with stressed/diseased or no vegetation (in future, extract more information about the crops).
I have recently removed an infrared blocking filter from a camera of a DJI Phantom 3 and instead mounted a filter that blocks every wavelength except Red and Near-infrared. I want red and near-infrared light because healthy vegetation will absorb red light and strongly reflect near-infrared light.
Incorporation of this filter allows reflected red light (660nm) to be captured in the camera sensors red channel and reflected near-infrared light (850nm) to be captured in the sensors blue channel (the green channel is not used). NDVI can be determined by performing the calculation: NDVI = (blue red) / (blue + red).
Could you please tell me how to make a heat map (maybe using DensityPlot) or any other way to better highlight the contrast instead of the Colorize function? Or if anything comes to your mind, I would be glad to hear!
This is my first attempt in post-processing.
An approximate regular camera picture of the grass spot:
ColorSeparate[
, {“R”, “B”}]
Out1 = {
,
}
f[pixel1_, pixel2_] := (((pixel1 - pixel2)/(pixel1 + pixel2)) + 1)/2;
ImageApply[f, {
,
}]
Out3 =
The darker spots are supposed to be less healthy vegetation.
Colorize[
]
Out4 =
