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: 5,650 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
4,110
1,406
134
5,650
118
154
HTML: 4,110
PDF: 1,406
XML: 134
Total: 5,650
BibTeX: 118
EndNote: 154
Views and downloads (calculated since 16 Jan 2023)
Cumulative views and downloads
(calculated since 16 Jan 2023)
Total article views: 4,428 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,382
941
105
4,428
105
137
HTML: 3,382
PDF: 941
XML: 105
Total: 4,428
BibTeX: 105
EndNote: 137
Views and downloads (calculated since 13 Sep 2023)
Cumulative views and downloads
(calculated since 13 Sep 2023)
Total article views: 1,222 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
728
465
29
1,222
13
17
HTML: 728
PDF: 465
XML: 29
Total: 1,222
BibTeX: 13
EndNote: 17
Views and downloads (calculated since 16 Jan 2023)
Cumulative views and downloads
(calculated since 16 Jan 2023)
Viewed (geographical distribution)
Total article views: 5,650 (including HTML, PDF, and XML)
Thereof 5,518 with geography defined
and 132 with unknown origin.
Total article views: 4,428 (including HTML, PDF, and XML)
Thereof 4,341 with geography defined
and 87 with unknown origin.
Total article views: 1,222 (including HTML, PDF, and XML)
Thereof 1,177 with geography defined
and 45 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,...
