High Resolution Canopy Height Maps by WRI and Meta

Global and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery.

Data and Resources

Additional Info

Field Value
Last Updated December 10, 2025, 22:29 (UTC)
Created December 10, 2025, 22:29 (UTC)
creationMethod <p>The Global Canopy Height Maps dataset offers comprehensive insights into tree canopy heights worldwide, providing an overview of tree canopy presence and height for the analysed period (2009-2020), with eighty per cent of the data obtained from imagery acquired between 2018 and 2020. This baseline can be used as a reference for supplementing field-based measurements of carbon in carbon credit monitoring and verification schema. When newer imagery is available, the publicly shared model can be used to detect changes in canopy heights. Developed through a collaboration between Meta and the World Resources Institute, this dataset stands as a cornerstone for understanding forest structure and dynamics. This dataset achieves an unparalleled level of detail through the fusion of state-of-the-art satellite imagery and advanced artificial intelligence techniques. By analyzing satellite imagery spanning from 2009 to 2020, with a focus on data from 2018 to 2020, it provides extensive temporal coverage for tracking changes in canopy height over time across the entire landmass of the planet. Using AI models such as DiNOv2, the dataset enables precise prediction of canopy height with a mean absolute error of 2.8 meters, empowering accurate assessment of carbon stocks and the effectiveness of mitigation strategies.</p>
creatorEmail
creatorName
dataAuthType public
dataType tif
docsURL https://www.sciencedirect.com/science/article/pii/S003442572300439X
issueDate 2025-12-10
lastUpdateDate 2025-12-10
ndp_creator_md5 faaaca24671fb34026ec5e9beb7a1839
pocEmail dataforgood@meta.com
pocName Data for Good
publisherEmail
publisherName
purpose
status submitted
theme []
uploadType dataset