This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
a python code completion plugin for gedit3+
Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications
Global Ecosystem Dynamics Investigation (GEDI) L2A/L2B -> GeoParquet & GeoDataFrame/Xarray
Python package for analyzing NASA GEDI data. GEDI is a LiDAR dataset that is acquired using the International Space Station.
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