School of National Safety and Emergency Management, Beijing Normal
University, Beijing 100875, PR 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, PR China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, PR China
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4,347
1,688
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6,167
467
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182
HTML: 4,347
PDF: 1,688
XML: 132
Total: 6,167
Supplement: 467
BibTeX: 137
EndNote: 182
Views and downloads (calculated since 29 Aug 2022)
Cumulative views and downloads
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Total article views: 5,008 (including HTML, PDF, and XML)
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EndNote
3,662
1,240
106
5,008
317
119
170
HTML: 3,662
PDF: 1,240
XML: 106
Total: 5,008
Supplement: 317
BibTeX: 119
EndNote: 170
Views and downloads (calculated since 14 Feb 2023)
Cumulative views and downloads
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Total article views: 1,159 (including HTML, PDF, and XML)
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685
448
26
1,159
150
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12
HTML: 685
PDF: 448
XML: 26
Total: 1,159
Supplement: 150
BibTeX: 18
EndNote: 12
Views and downloads (calculated since 29 Aug 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 6,167 (including HTML, PDF, and XML)
Thereof 6,069 with geography defined
and 98 with unknown origin.
Total article views: 5,008 (including HTML, PDF, and XML)
Thereof 4,970 with geography defined
and 38 with unknown origin.
Total article views: 1,159 (including HTML, PDF, and XML)
Thereof 1,099 with geography defined
and 60 with unknown origin.
High-spatiotemporal-resolution rice yield datasets are limited over a large region. We proposed an explicit method to predict rice yield based on machine learning methods and generated a seasonal 4 km resolution rice yield dataset across Asia (AsiaRiceYield4km) for 1995–2015. The seasonal rice yield accuracy of AsiaRiceYield4km is high and much improved compared with previous datasets. AsiaRiceYield4km will fill the current data gap and better support agricultural monitoring systems.
High-spatiotemporal-resolution rice yield datasets are limited over a large region. We proposed...
