Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
College of agriculture, Shanxi Agricultural University, Taigu, Shanxi
030801, China
Shaoyu Han
Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
Institute of Agricultural Economics and Information, Henan Academy of
Agricultural Sciences, Zhengzhou, Henan 450000, China
Jie Zheng
Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
Hanyu Xue
Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
Zhenhai Li
Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
College of Geodesy and Geomatics, Shandong University of Science and
Technology, Qingdao 266590, China
Yang Meng
Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
College of agriculture, Shanxi Agricultural University, Taigu, Shanxi
030801, China
Xuguang Li
Cultivated Land Monitoring and Protection Center of Hebei,
Shijiazhuang, 050056, China
Xiaodong Yang
Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
Zhenhong Li
School of Geological Engineering and Geomatics, Chang'an University,
Xi'an 710054, China
Shuhong Cai
Cultivated Land Monitoring and Protection Center of Hebei,
Shijiazhuang, 050056, China
Key Laboratory of Quantitative Remote Sensing in Agriculture of
Ministry of Agriculture and Rural Affairs, Information Technology Research
Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing
100097, China
School of Geological Engineering and Geomatics, Chang'an University,
Xi'an 710054, China
Viewed
Total article views: 4,818 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,614
1,086
118
4,818
104
136
HTML: 3,614
PDF: 1,086
XML: 118
Total: 4,818
BibTeX: 104
EndNote: 136
Views and downloads (calculated since 16 Jan 2023)
Cumulative views and downloads
(calculated since 16 Jan 2023)
Total article views: 3,676 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,940
646
90
3,676
93
122
HTML: 2,940
PDF: 646
XML: 90
Total: 3,676
BibTeX: 93
EndNote: 122
Views and downloads (calculated since 13 Sep 2023)
Cumulative views and downloads
(calculated since 13 Sep 2023)
Total article views: 1,142 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
674
440
28
1,142
11
14
HTML: 674
PDF: 440
XML: 28
Total: 1,142
BibTeX: 11
EndNote: 14
Views and downloads (calculated since 16 Jan 2023)
Cumulative views and downloads
(calculated since 16 Jan 2023)
Viewed (geographical distribution)
Total article views: 4,818 (including HTML, PDF, and XML)
Thereof 4,693 with geography defined
and 125 with unknown origin.
Total article views: 3,676 (including HTML, PDF, and XML)
Thereof 3,603 with geography defined
and 73 with unknown origin.
Total article views: 1,142 (including HTML, PDF, and XML)
Thereof 1,090 with geography defined
and 52 with unknown origin.
In the present study, we generated a 30 m Chinese winter wheat yield dataset from 2016 to 2021, called ChinaWheatYield30m. The dataset has high spatial resolution and great accuracy. It is the highest-resolution yield dataset known. Such a dataset will provide basic knowledge of detailed wheat yield distribution, which can be applied for many purposes including crop production modeling or regional climate evaluation.
In the present study, we generated a 30 m Chinese winter wheat yield dataset from 2016 to 2021,...