ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products
Yuchuan Luo,Zhao Zhang,Yi Chen,Ziyue Li,and Fulu Tao
Yuchuan Luo
State Key Laboratory of Earth Surface Processes and Resource
Ecology & MOE Key Laboratory of Environmental Change and Natural
Hazards,
Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
State Key Laboratory of Earth Surface Processes and Resource
Ecology & MOE Key Laboratory of Environmental Change and Natural
Hazards,
Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Yi Chen
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographical Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing 100101, China
Ziyue Li
State Key Laboratory of Earth Surface Processes and Resource
Ecology & MOE Key Laboratory of Environmental Change and Natural
Hazards,
Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Fulu Tao
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographical Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
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Viewed (geographical distribution)
Total article views: 83,878 (including HTML, PDF, and XML)
Thereof 77,019 with geography defined
and 6,859 with unknown origin.
Total article views: 82,586 (including HTML, PDF, and XML)
Thereof 75,877 with geography defined
and 6,709 with unknown origin.
Total article views: 1,292 (including HTML, PDF, and XML)
Thereof 1,142 with geography defined
and 150 with unknown origin.
For the first time, we generated a 1 km gridded-phenology product for three staple crops in China during 2000–2015, called ChinaCropPhen1km. Compared with the phenological observations from the agricultural meteorological stations, the dataset had high accuracy, with errors of retrieved phenological date of less than 10 d. The well-validated dataset is sufficiently reliable for many applications, including improving the agricultural-system or earth-system modeling over a large area.
For the first time, we generated a 1 km gridded-phenology product for three staple crops in...
