Spatio-temporally Continuous GEDI Aboveground Biomass Density from 2015 to 2020 in China's Han River Basin
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The spatio-temporally continuous GEDI Aboveground Biomass Density (AGBD, Mg/ha) maps and its associated uncertainty (standard error) from 2015 to 2020 were generated by using a deep learning regression approach that integrates multi-source optical, SAR, LiDAR, topographic, and climatic data. The dataset has a spatial resolution of 1 km and provides annual estimates from 2015 to 2020 for the Han River Basin, China.
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Zenodo创建时间:
2025-10-19



