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Predicting soil organic carbon content in Spain by combining Landsat TM and ALOS PALSAR images
Institution:1. Research Center for Environmental Ecology and Engineering, School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan 430205, China;2. Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China;3. Lancaster Environment Center, Faculty of Science and Technology, Lancaster University, Lancaster LA1 4YQ, UK;4. School of Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK;5. School of Natural and Built Environment, Queen’s University, Belfast, Belfast BT7 1NN, UK;6. Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China;7. Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo Urban Environment Observation and Research Station, Chinese Academy of Sciences, Ningbo 315830, China
Abstract:
Keywords:Soil organic carbon  Landsat TM  PALSAR  Random forest  Mainland Spain
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