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International Journal of Digital Earth
Volume 16, 2023 - Issue 1
Articles
Machine learning-based prediction of sand and dust storm sources in arid Central Asia
Wei Wanga State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China;b Research Centre for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China;c University of Chinese Academy of Sciences, Beijing, People’s Republic of China;d Department of Geography, Ghent University, Ghent, Belgium;e Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium;f Sino-Belgian Joint Laboratory of Geo-Information, Urumqi, People’s Republic of China
https://orcid.org/0000-0003-1813-0551View further author information
https://orcid.org/0000-0003-1813-0551View further author information, Alim Samata State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China;b Research Centre for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China;c University of Chinese Academy of Sciences, Beijing, People’s Republic of Chinahttps://orcid.org/0000-0002-9091-6033View further author information
https://orcid.org/0000-0002-9091-6033View further author information, Jilili Abuduwailia State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China;b Research Centre for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China;c University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaCorrespondence[email protected]
https://orcid.org/0000-0001-8483-1554View further author information
https://orcid.org/0000-0001-8483-1554View further author information, Philippe De Maeyerd Department of Geography, Ghent University, Ghent, Belgium;e Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium;f Sino-Belgian Joint Laboratory of Geo-Information, Urumqi, People’s Republic of Chinahttps://orcid.org/0000-0001-8902-3855View further author information
https://orcid.org/0000-0001-8902-3855View further author information & Tim Van de Voorded Department of Geography, Ghent University, Ghent, Belgium;e Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium;f Sino-Belgian Joint Laboratory of Geo-Information, Urumqi, People’s Republic of Chinahttps://orcid.org/0000-0002-9324-5087View further author information
https://orcid.org/0000-0002-9324-5087View further author information