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  • [\'State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangdong), Guangdong 511458, China.\', \'State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.\', \'State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China.\', \'State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: kshi@niglas.ac.cn.\']
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?:doi
  • S0043-1354(22)00204-410.1016/j.watres.2022.118241
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  • Water research
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  • 35259557
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  • Water clarity mapping of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images.
?:type
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  • 2022

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