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Research Article
A new computationally efficient algorithm to generate global fractional vegetation cover from Sentinel-2 imagery at 10 m resolution
Xu Maa College of Geography and Remote sensing Sciences, Xinjiang key Laboratory of Oasis Ecology, Postdoctoral Mobile Station, Xingjiang University, Urumqi, People’s Republic of China
https://orcid.org/0000-0003-0644-7498View further author information
Jianli Dingb College of Geography and Remote sensing Sciences, Xinjiang key Laboratory of Oasis Ecology, Xingjiang University, Urumqi, People’s Republic of ChinaView further author information
, Hui Sunb College of Geography and Remote sensing Sciences, Xinjiang key Laboratory of Oasis Ecology, Xingjiang University, Urumqi, People’s Republic of ChinaView further author information
, Lei Luc College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaView further author information
, Xiao Chenga College of Geography and Remote sensing Sciences, Xinjiang key Laboratory of Oasis Ecology, Postdoctoral Mobile Station, Xingjiang University, Urumqi, People’s Republic of China;d School of Geospatial Engineering and Science, Office of Scientific Research and Development, Polar Science Center, Sun Yat-sen Universty, Zhuhai, People’s Republic of ChinaView further author information
, Fei Zhange College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, People’s Republic of ChinaCorrespondence[email protected]
https://orcid.org/0000-0002-1194-8513View further author information
Zhonglin Xuf College of Ecology and Environment Sciences, Xingjiang University, Urumqi, People’s Republic of ChinaView further author information
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Article: 2344592
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Received 18 Aug 2023, Accepted 14 Apr 2024, Published online: 30 Apr 2024
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