2001-2020年全球1km农田总初级生产力数据集

本数据集为2001-2020年长时间序列1km全球农田总初级生产力（Gross Primary Productivity，GPP）遥感估算数据产品。基于站点通量观测数据、植被光合有效辐射吸收比例（FPAR）等遥感数据及气温、降水、辐射等再分析气象数据，利用考虑土壤水分胁迫的改进光能利用率模型（EF-LUE），针对不同全球气候区农田生态系统优化模型参数，估算得到全球农田GPP。数据空间分辨率为1km，时间分辨率每年，格式为GeoTIFF格式。GPP数据单位为gC/m2, 转换系数为0.01。

This dataset is a long-time-series 1 km global remote sensing-estimated gross primary productivity (GPP) data product for cropland ecosystems, spanning the years 2001 to 2020. It is generated by estimating global cropland GPP using an improved light use efficiency model (EF-LUE) that incorporates soil moisture stress, with model parameters optimized for cropland ecosystems across diverse global climate zones. The input datasets include in-situ flux tower observation data, remote sensing products such as the vegetation fraction of absorbed photosynthetically active radiation (FPAR), and reanalyzed meteorological data including air temperature, precipitation, and solar radiation. The dataset has a spatial resolution of 1 km, an annual temporal resolution, and is formatted as GeoTIFF. The unit of the GPP data is gC/m², with a conversion coefficient of 0.01.