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High Resolution Canopy Height Maps by WRI and Meta
- registry.opendata.aws
Updated Mar 21, 2023
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EmailClick to copy linkLink copiedCiteMeta (2023). High Resolution Canopy Height Maps by WRI and Meta [Dataset]. https://registry.opendata.aws/dataforgood-fb-forests/Dataset updatedMar 21, 2023DescriptionGlobal and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery.
Raster dataset of trees outside forests in C40 cities
- zenodo.org
Updated Apr 23, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteNan Li; Yaoping Cui; Yaoping Cui; Ge Yan; Ge Yan; Nan Li (2025). Raster dataset of trees outside forests in C40 cities [Dataset]. http://doi.org/10.5281/zenodo.15267245Unique identifierhttps://doi.org/10.5281/zenodo.15267245Dataset updatedApr 23, 2025AuthorsNan Li; Yaoping Cui; Yaoping Cui; Ge Yan; Ge Yan; Nan LiLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis dataset uses the 10-meter vegetation canopy height (ETH 10m) data of ETH Global Sentinel-2 released by the Eidgenössische Technische Hochschule Zürich and the global 1m tree canopy height (Meat 1m) data released by Meta and the World Resources Institute to construct a unified 10-meter resolution tree canopy height data at the urban scale and extract four types of urban TOF, namely urban forests, urban tree, urban shrub and cropland shrub.
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Global and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery.