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GitHub / 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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/langnico%2Fglobal-canopy-height-model
Stars: 118
Forks: 22
Open Issues: 3
License: mit
Language: Python
Repo Size: 60.5 KB
Dependencies:
14
Created: 12 months ago
Updated: 15 days ago
Last pushed: 8 months ago
Last synced: 15 days ago
Commit Stats
Commits: 5
Authors: 2
Mean commits per author: 2.5
Development Distribution Score: 0.2
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/langnico/global-canopy-height-model
Topics: canopy-height-models, deep-learning, ensemble, gedi, sentinel-2, uncertainty
Files
Dependencies
- botocore *
- ipython *
- matplotlib *
- numpy *
- pathlib *
- scikit-image *
- scikit-learn *
- sentinelhub ==3.9.0
- tables *
- tensorboard *
- tqdm *
- typing *
- urllib3 *
- wandb *