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A Moderate-Resolution, Long-Term Global Radar-Based Forest Above-Ground Biomass Dataset from 1993 to 2020

This dataset provides a new global forest annual above-ground biomass (AGB, Mg ha−1) record at a 8.9 km spatial resolution, covering the years from 1993 to 2020. It is derived from satellite radar backscatter data and incorporates climate information, including

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CreatorLiu, Guohua
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Published2026-03-30
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DOI10.5281/zenodo.19259660
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Downloads503
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Licensecc-by-4.0
File Size123.7 MB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views1,048
Total Downloads503

This dataset provides a new global forest annual above-ground biomass (AGB, Mg ha−1) record at a 8.9 km spatial resolution, covering the years from 1993 to 2020. It is derived from satellite radar backscatter data and incorporates climate information, including dynamic and background climate data, to improve the accuracy of global AGB mapping.

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A Moderate-Resolution, Long-Term Global Radar-Based Forest Above-Ground Biomass… (Full Dataset)123.7 MB
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Files are hosted on the source repository. Click download to access the full dataset.

Liu, Guohua (2026). A Moderate-Resolution, Long-Term Global Radar-Based Forest Above-Ground Biomass Dataset from 1993 to 2020. https://doi.org/10.5281/zenodo.19259660