College of Atmospheric and Geographic Sciences, University of Oklahoma, Norman, OK 73019, USA
Diyou Liu
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Fang Liu
School of Biological Sciences, University of Oklahoma, Norman, OK 73019, USA
Yosio Shimabukuro
Brazilian National Institute for Space Research, INPE, São José dos Campos, SP 12227, Brazil
Egidio Arai
Brazilian National Institute for Space Research, INPE, São José dos Campos, SP 12227, Brazil
Xinxin Wang
Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Institute of Biodiversity Science and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai 200438, China
Berrien Moore III
College of Atmospheric and Geographic Sciences, University of Oklahoma, Norman, OK 73019, USA
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3,094
1,213
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4,461
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204
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PDF: 1,213
XML: 154
Total: 4,461
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BibTeX: 181
EndNote: 204
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Cumulative views and downloads
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Total article views: 2,999 (including HTML, PDF, and XML)
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2,167
712
120
2,999
146
160
186
HTML: 2,167
PDF: 712
XML: 120
Total: 2,999
Supplement: 146
BibTeX: 160
EndNote: 186
Views and downloads (calculated since 15 Jan 2024)
Cumulative views and downloads
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Total article views: 1,462 (including HTML, PDF, and XML)
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927
501
34
1,462
21
18
HTML: 927
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Total: 1,462
BibTeX: 21
EndNote: 18
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Total article views: 4,461 (including HTML, PDF, and XML)
Thereof 4,377 with geography defined
and 84 with unknown origin.
Total article views: 2,999 (including HTML, PDF, and XML)
Thereof 2,932 with geography defined
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Total article views: 1,462 (including HTML, PDF, and XML)
Thereof 1,445 with geography defined
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Forest definition has two major biophysical parameters, i.e., canopy height and canopy coverage. However, few studies have assessed forest cover maps in terms of these two parameters at a large scale. Here, we assessed the annual forest cover maps in the Brazilian Amazon using 1.1 million footprints of canopy height and canopy coverage. Over 93 % of our forest cover maps are consistent with the FAO forest definition, showing the high accuracy of these forest cover maps in the Brazilian Amazon.
Forest definition has two major biophysical parameters, i.e., canopy height and canopy coverage....
