Because of the difficulty in obtaining large-scale distribution data on tree species in Rhinopithecus roxellana habitat in Shennongjia, we attempted to use multi-source and multi-temporal remote sensing data combined with expert knowledge to identify species at different levels. Firstly, after analyzing the discrimination of sample trees, we used winter Landsat8/OLI image data to extract evergreen and deciduous forest, respectively. Secondly, we used summer Worldview-2 high resolution image data to for the recognition of tree species, which inc...
