School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK 73019, USA
Yuanwei Qin
School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK 73019, USA
Jinwei Dong
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Geli Zhang
College of Land Science and Technology, China Agricultural University, Beijing 100193, China
Xuebin Yang
School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK 73019, USA
Xiaocui Wu
Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Chandrashekhar Biradar
Center for International Forestry Research (CIFOR) and World Agroforestry Center (ICRAF), Asia Continental Program, New Delhi, India
Yang Hu
School of Ecology and Environment, Ningxia University, Yinchuan 750021, China
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Total article views: 4,099 (including HTML, PDF, and XML)
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2,738
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4,099
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PDF: 935
XML: 426
Total: 4,099
BibTeX: 138
EndNote: 201
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
(calculated since 09 Feb 2023)
Total article views: 2,383 (including HTML, PDF, and XML)
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1,690
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2,383
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HTML: 1,690
PDF: 350
XML: 343
Total: 2,383
BibTeX: 67
EndNote: 128
Views and downloads (calculated since 11 Oct 2024)
Cumulative views and downloads
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Total article views: 1,716 (including HTML, PDF, and XML)
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1,048
585
83
1,716
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HTML: 1,048
PDF: 585
XML: 83
Total: 1,716
BibTeX: 71
EndNote: 73
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,099 (including HTML, PDF, and XML)
Thereof 3,993 with geography defined
and 106 with unknown origin.
Total article views: 2,383 (including HTML, PDF, and XML)
Thereof 2,315 with geography defined
and 68 with unknown origin.
Total article views: 1,716 (including HTML, PDF, and XML)
Thereof 1,678 with geography defined
and 38 with unknown origin.
Existing satellite-based forest maps have large uncertainties due to different forest definitions and mapping algorithms. To effectively manage forest resources, timely and accurate annual forest maps at a high spatial resolution are needed. This study improved forest maps by integrating PALSAR-2 and Landsat images. Annual evergreen and non-evergreen forest-type maps were also generated. This critical information supports the Global Forest Resources Assessment.
Existing satellite-based forest maps have large uncertainties due to different forest...
