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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4,243
1,536
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5,906
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169
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PDF: 1,536
XML: 127
Total: 5,906
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EndNote: 169
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Cumulative views and downloads
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Total article views: 4,765 (including HTML, PDF, and XML)
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3,571
1,093
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4,765
301
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158
HTML: 3,571
PDF: 1,093
XML: 101
Total: 4,765
Supplement: 301
BibTeX: 109
EndNote: 158
Views and downloads (calculated since 14 Feb 2023)
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Total article views: 1,141 (including HTML, PDF, and XML)
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672
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1,141
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HTML: 672
PDF: 443
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Total: 1,141
Supplement: 143
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EndNote: 11
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 5,906 (including HTML, PDF, and XML)
Thereof 5,814 with geography defined
and 92 with unknown origin.
Total article views: 4,765 (including HTML, PDF, and XML)
Thereof 4,733 with geography defined
and 32 with unknown origin.
Total article views: 1,141 (including HTML, PDF, and XML)
Thereof 1,081 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...
