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 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; 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, United States; Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou, 510650, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; Department of Geography & Spatial Information Technology, Ningbo University, Ningbo, 315211, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Recommended Citation:
Wang J.,Ding J.,Yu D.,et al. Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI[J]. Science of the Total Environment,2020-01-01,707