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机译:使用改进的模型和IRS-P6卫星数据在Case-II水域进行远程叶绿素-a检索
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China The Center for National Spaceborne Demonstration, Beijing 100101, China;
rnNational Marine Environmental Monitoring Center, Dalian 116023, China;
rnDepartment of RS and GIS, Northeast Institute of Geography and Agroecology, Chinese Academy of Science, Changchun 130012, China;
rnState Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China The Center for National Spaceborne Demonstration, Beijing 100101, China;
rnState Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China The Center for National Spaceborne Demonstration, Beijing 100101, China;
机译:光学复杂水域中的时空叶绿素a检索可解决遥感和建模不确定性问题,并提高远程估计的准确性
机译:基于卫星的水质监测,以改善沿海水域中叶绿素a的时空检索
机译:利用Landsat 8卫星数据对西北波斯湾进行叶绿素a,SST和kd490的远程检索
机译:基于概念优化模型的太湖叶绿素a遥感反演:基于HJ-1卫星高光谱成像仪数据
机译:使用火车卫星和基于地基遥感测量和辐射转移建模的Modis液体水路检索的评估与改进
机译:通过数据同化将遥感信息集成到分布式水文模型中以改善大型流域的水预算预测
机译:mOD2sEa:一种耦合大气 - 水 - 光学模型,用于从复杂浑浊水域遥感观测中检索叶绿素a