2001-2020年全球1km森林碳扰动数据集

本数据集描述了2001-2020年全球因森林干扰造成的地上生物量损失。该数据集的空间分辨率为GCS_WGS_1984坐标系下的0.0083度。以基于GEDI SAWA指数的地上生物量数据为基准数据，并利用MODIS全球陆地和地面卫星（GLASS）数据集反演了2000年至2020年的地上生物量。基于随机森林，针对不同大洲的不同森林类型，开发了不同的地上生物量反演模型。此外，还利用UMD-GLAD的全球森林变化数据集辅助提取了2001-2020年的森林干扰区域。该数据集的整体精度接近75%。

This dataset describes the aboveground biomass loss caused by forest disturbances globally during 2001–2020. The spatial resolution of this dataset is 0.0083° under the GCS_WGS_1984 coordinate system. Taking the aboveground biomass data based on the GEDI SAWA index as the reference dataset, we inverted the aboveground biomass from 2000 to 2020 using the MODIS Global Land Surface Satellite (GLASS) dataset. Different aboveground biomass inversion models were developed based on the Random Forest algorithm, tailored for different forest types across various continents. In addition, the global forest change dataset from UMD-GLAD was utilized to assist in extracting forest disturbance areas during 2001–2020. The overall accuracy of this dataset approaches 75%.