The forest canopy height data in 2021 in Shangri-La, China

This is a forest canopy height (FCH) inversion data from Shangri La, China. Its development process is as follows: (1) the ICESat-2 ATL08 product accuracy was validated using 10-meter resolution canopy height model (CHM) generated by airborne laser scanning (ALS) LiDAR data; (2) the canopy height information provided by ATL08 and explanatory variables provided by multi-source data were combined to construct convolutional neural network regression and extrapolation models to obtain spatially continuous FCH at 10-meter scale, with an accuracy of 0.75.