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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2,485
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3,722
126
165
HTML: 2,485
PDF: 822
XML: 415
Total: 3,722
BibTeX: 126
EndNote: 165
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
(calculated since 09 Feb 2023)
Total article views: 2,093 (including HTML, PDF, and XML)
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1,497
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333
2,093
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96
HTML: 1,497
PDF: 263
XML: 333
Total: 2,093
BibTeX: 55
EndNote: 96
Views and downloads (calculated since 11 Oct 2024)
Cumulative views and downloads
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Total article views: 1,629 (including HTML, PDF, and XML)
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988
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82
1,629
71
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HTML: 988
PDF: 559
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Total: 1,629
BibTeX: 71
EndNote: 69
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,722 (including HTML, PDF, and XML)
Thereof 3,623 with geography defined
and 99 with unknown origin.
Total article views: 2,093 (including HTML, PDF, and XML)
Thereof 2,030 with geography defined
and 63 with unknown origin.
Total article views: 1,629 (including HTML, PDF, and XML)
Thereof 1,593 with geography defined
and 36 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...
