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Research Article
Large dam candidate region identification from multi-source remote sensing images via a random forest and spatial analysis approach
Min Jinga Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, People’s Republic of China;b School of Geography and Ocean Science, Nanjing University, Nanjing, People’s Republic of ChinaView further author information
, Ning Lia Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, People’s Republic of China;b School of Geography and Ocean Science, Nanjing University, Nanjing, People’s Republic of ChinaView further author information
, SiCong Lia Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, People’s Republic of China;b School of Geography and Ocean Science, Nanjing University, Nanjing, People’s Republic of ChinaView further author information
, Chen Jia Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, People’s Republic of China;b School of Geography and Ocean Science, Nanjing University, Nanjing, People’s Republic of ChinaCorrespondence[email protected]
View further author information
& View further author information
Liang Chenga Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, People’s Republic of China;b School of Geography and Ocean Science, Nanjing University, Nanjing, People’s Republic of China;c Collaborative Innovation Center for the South Sea Studies, Nanjing University, Nanjing, People’s Republic of China;d Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, People’s Republic of ChinaView further author information
Pages 4212-4228
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Received 26 Apr 2023, Accepted 24 Sep 2023, Published online: 11 Oct 2023
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