The model is a stupidly simple pixel-based random forest trained with a grid of sampled points (below) using downscaled bioclimatic predictors derived from temp and precip (via WorldClim) and stretched MODIS RGB. I also tried predicting in HSV and LAB space, but RGB looked the best 🤷‍♂️

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