langnico/GEDI-BDL
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".
This project helps forestry researchers and ecologists accurately estimate forest canopy height across large areas. It takes raw GEDI LIDAR waveform data and outputs precise canopy height measurements along with an estimate of their uncertainty. Forest managers, environmental scientists, and remote sensing specialists can use this for ecosystem monitoring or carbon cycle research.
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Use this if you need to derive global canopy height and its associated uncertainty from GEDI LIDAR waveform data for environmental analysis or forestry applications.
Not ideal if you are looking for a pre-packaged software with a graphical interface, as this requires command-line execution and some technical setup.
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Python
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Last pushed
Nov 04, 2021
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