https://github.com/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.
https://github.com/langnico/global-canopy-height-model

canopy-height-models deep-learning ensemble gedi sentinel-2 uncertainty

Last synced: 3 months ago
JSON representation

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.

• Host: GitHub
• URL: https://github.com/langnico/global-canopy-height-model
• Owner: langnico
• License: mit
• Created: 2023-06-09T13:48:27.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-13T08:45:40.000Z (about 1 year ago)
• Last Synced: 2024-05-19T14:20:45.463Z (6 months ago)
• Topics: canopy-height-models, deep-learning, ensemble, gedi, sentinel-2, uncertainty
• Language: Python
• Homepage: https://langnico.github.io/globalcanopyheight
• Size: 60.5 KB
• Stars: 118
• Watchers: 3
• Forks: 22
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• open-sustainable-technology - A high-resolution canopy height model of the Earth - The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference. (Biosphere / Forest Modeling and Analysis)