I want to assess the health level of forest cover and detect the most vulnerable sites for better management purposes. I am using machine learning tools and remote sensing imagery to detect, assign, and validate my results.

What I want to do is to design a multicriteria decision-making tool and include all health level parameters. Here is where a question pops up that what could be the most decisive and integrated factors that can question the health level of the forest. For example, I can use NDVI, Biomass, LAI, SAVI, and several other indexes. But if I want to sort the most important ones? which are the bests and why?

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