中国森林地上和地下植被碳储量数据集（2002~2021）

为准确定量近20年气候变化与人类活动（生态恢复等）对中国森林碳储量的影响，一套高质量的中国长时间序列森林碳储量数据集是很有必要的。通过采用回归与机器学习算法融合高分辨率主动微波遥感、长时间序列的被动微波与光学遥感信息，并参考大量地面样地实测数据，我们发展了一套时空连续的近20年中国森林地上和地下植被碳储量数据。通过与已有数据的对比，发现本数据集可更准确地反映中国森林植被碳储量的空间格局以及年际变化情况。数据的空间分辨率为1/120度（约1km）。空间分辨率：0.05° - 0.1°数据大小：896.68 MB数据时间范围：2002-01-01 — 2021-12-31文件格式：tif范围：中国森林地上和地下植被图例：数据来源：国家青藏高原科学数据中心https://data.tpdc.ac.cn/来源地址：https://data.tpdc.ac.cn/zh-hans/data/fa3e5766-95a4-4de2-9d45-f51f917b73d9如有侵权，请联系客服删除

To accurately quantify the impacts of climate change and human activities (e.g., ecological restoration) on forest carbon stocks in China over the past two decades, a high-quality long-time-series forest carbon stock dataset for China is essential. We developed a spatio-temporally continuous dataset of aboveground and belowground forest vegetation carbon stocks in China spanning the past two decades, by integrating high-resolution active microwave remote sensing, long-time-series passive microwave and optical remote sensing data using regression and machine learning algorithms, and referencing a large volume of field plot measurement data. Compared with existing datasets, this dataset can more accurately capture the spatial patterns and interannual variations of forest vegetation carbon stocks across China.
Spatial resolution: 1/120 degree (approximately 1 km); 0.05° - 0.1°
Data size: 896.68 MB
Temporal coverage: 2002-01-01 to 2021-12-31
File format: TIF
Coverage: Aboveground and belowground forest vegetation in China
Legend: N/A
Data source: National Tibetan Plateau Data Center https://data.tpdc.ac.cn/
Source URL: https://data.tpdc.ac.cn/zh-hans/data/fa3e5766-95a4-4de2-9d45-f51f917b73d9
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