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.

Date Created 2023-06-09 (about a year ago)

Commits 6 (last one 8 months ago)

Stargazers 124 (0 this week)

Watchers 3 (0 this week)

Forks 27

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RepositoryStats indexes 534,551 repositories, of these langnico/global-canopy-height-model is ranked #235,334 (56th percentile) for total stargazers, and #398,999 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #41,997/103,470.

langnico/global-canopy-height-model is also tagged with popular topics, for these it's ranked: deep-learning (#4,307/7827)

Other Information

langnico/global-canopy-height-model has Github issues enabled, there are 4 open issues and 3 closed issues.

There have been 1 release, the latest one was published on 2023-06-09 (about a year ago) with the name v1.0-trained-model-weights.

Homepage URL: https://langnico.github.io/globalcanopyheight

All Topics

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

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updated: 2024-06-22 @ 07:55am, id: 651552631 / R_kgDOJtXndw