Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

► Hyperspectral data allow one to distinguish similar species. ► Downscaling the spectral resolution reduces the discrimination ability of the data. ► Multispectral data are effective for macro-classes discrimination. ► The addition of LiDAR data increase the classification accuracy. ► High point density LiDAR data allow higher class accuracy than low point density data.