langnico/global-canopy-height-model
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 project provides a method to accurately map canopy top height across the entire Earth. By processing satellite imagery from Sentinel-2, it generates high-resolution maps showing the height of tree canopies. This is ideal for environmental scientists, forest managers, and conservationists who need precise data on global forest structures.
177 stars. No commits in the last 6 months.
Use this if you need to calculate or estimate canopy height over large geographical areas, using satellite images, for environmental monitoring or forestry planning.
Not ideal if you need ultra-high-resolution, local canopy height data that requires direct airborne lidar surveys for small, specific plots.
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Language
Python
License
MIT
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Last pushed
Oct 13, 2023
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