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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2,820
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134
3,898
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169
HTML: 2,820
PDF: 944
XML: 134
Total: 3,898
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BibTeX: 143
EndNote: 169
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Cumulative views and downloads
(calculated since 02 Jan 2023)
Total article views: 2,513 (including HTML, PDF, and XML)
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EndNote
1,948
465
100
2,513
111
122
151
HTML: 1,948
PDF: 465
XML: 100
Total: 2,513
Supplement: 111
BibTeX: 122
EndNote: 151
Views and downloads (calculated since 15 Jan 2024)
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Total article views: 1,385 (including HTML, PDF, and XML)
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872
479
34
1,385
21
18
HTML: 872
PDF: 479
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Total: 1,385
BibTeX: 21
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Views and downloads (calculated since 02 Jan 2023)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,898 (including HTML, PDF, and XML)
Thereof 3,849 with geography defined
and 49 with unknown origin.
Total article views: 2,513 (including HTML, PDF, and XML)
Thereof 2,479 with geography defined
and 34 with unknown origin.
Total article views: 1,385 (including HTML, PDF, and XML)
Thereof 1,370 with geography defined
and 15 with unknown origin.
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....