The RapeseedMap10 database: annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data
Jichong Han,Zhao Zhang,Yuchuan Luo,Juan Cao,Liangliang Zhang,Jing Zhang,and Ziyue Li
Jichong Han
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
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
Juan Cao
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
Liangliang Zhang
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
Jing Zhang
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
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
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Total article views: 7,058 (including HTML, PDF, and XML)
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Total article views: 5,995 (including HTML, PDF, and XML)
Thereof 5,713 with geography defined
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Total article views: 1,063 (including HTML, PDF, and XML)
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Large-scale and high-resolution maps of rapeseed are important for ensuring global energy security. We generated a new database for the rapeseed planting area (2017–2019) at 10 m spatial resolution based on multiple data. Also, we analyzed the rapeseed rotation patterns in 25 representative areas from different countries. The derived rapeseed maps are useful for many purposes including crop growth monitoring and production and optimizing planting structure.
Large-scale and high-resolution maps of rapeseed are important for ensuring global energy...
