2026-10-14T11:00:54Z https://www.scidb.cn/oai

10.57760/sciencedb.11134 2024-08-23T11:37:10Z

2024-08-23 Hi-GLASS-GPP 2016-2020 in China doi:10.57760/sciencedb.11134 en The gross primary production (GPP) represents the amount of plant photosynthesis in terrestrial ecosystem, which is one of the research hotspots in global change. However, the state-of-the-art GPP product driven by the coarse spatial resolution (i.e. 500m) remote sensing data, which is inadequate in reproducing the spatial heterogeneity in land surface. Meanwhile, the agricultural and forestry applications require fine spatial resolution GPP products. Therefore, this dataset applied the Landsat series fine spatial resolution (i.e. 30m) remote sensing data as the data source, and the revised EC-LUE model to generate the monthly fine spatial resolution GPP product (i.e Hi-GLASS-GPP) in China.  gross primary production ; fine spatial resolution ; China Shangrong LIN (林尚荣) Wenping YUAN (袁文平) Xiaojuan HUANG (黄晓娟) Caiqun WANG (王才群) Tao HE (何涛) Shunlin LIANG (梁顺林) PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/https://doi.org/10.1038/s41597-024-03893-x http://www.doi.org/10.1016/j.srs.2022.100049 http://www.doi.org/https://doi.org/10.3390/rs14112651 Science Data Bank