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Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI.
Wang, Jingzhe; Ding, Jianli; Yu, Danlin; Teng, Dexiong; He, Bin; Chen, Xiangyue; Ge, Xiangyu; Zhang, Zipeng; Wang, Yi; Yang, Xiaodong; Shi, Tiezhu; Su, Fenzhen.
Afiliação
  • Wang J; Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China; Key Laboratory for Geo-Environmental Monitoring o
  • Ding J; Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China. Electronic address: watarid@xju.edu.cn.
  • Yu D; School of Sociology and Population Studies, Renmin University of China, Beijing, 100872, China; Department of Earth and Environmental Studies, Montclair State University, Montclair, NJ, 07043, USA.
  • Teng D; Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China.
  • He B; Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou 510650, China.
  • Chen X; Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China.
  • Ge X; Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China.
  • Zhang Z; Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China.
  • Wang Y; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
  • Yang X; Department of Geography & Spatial Information Technology, Ningbo University, Ningbo 315211, China.
  • Shi T; Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China.
  • Su F; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Sci Total Environ ; 707: 136092, 2020 Mar 10.
Article em En | MEDLINE | ID: mdl-31972911
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2020 Tipo de documento: Article País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2020 Tipo de documento: Article País de publicação: Holanda