I am currently working on a project and I need to know the pros and cons, the applications, and even the limitations of vegetation indices particularly those that are useful in the RGB spectrum in the assessment of crop health. The crop in question is maize.
As it is known that each color image has various RGB color index values. The difference in the percentage of the RGB index makes an image red, green, blue, yellow and so on. The higher the color index, the brighter the image will be. Vice versa, the smaller the indigo color index, the darker the image will be. In this study, the three index values will be separated and will be used as parameters in making classification.
Among those VIs working with RGB you could explore the suitability of the Visible Atmospherically Resistant Index & the Green Leaf Index for your particular case. Hope this could help you:
https://osf.io/fs4vm/
Article EVALUATION OF RGB-BASED VEGETATION INDICES FROM UAV IMAGERY ...
https://ieeexplore.ieee.org/document/8609861
https://agronomy.emu.ee/wp-content/uploads/2020/06/AR2020_Vol18No4_Stary.pdf
This is not a direct answer to your question, but rather a caution not to over-interpret what NDVI can tell you. It's a metric of relative vegetative growth compared to a long-term 'norm', not the health of a crop. A clear example was from Ethiopia in the 1980s when locations of high enset (false banana) cultivation showed bright green on NDVI due to high precipitation and above-ground growth, but below ground blight had begun to destroy the enset harvest. In other words, the enset regions were green but the crop was not healthy. Hope that helps.
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