机译:通过光学和热红外数据的协同使用来获取裸露的表层土壤水分
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China,ICube, UdS, CNRS, Illkirch 67412, France;
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
ICube, UdS, CNRS, Illkirch 67412, France,Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
机译:利用多时相光学和热红外观测对植被和土壤质地对表层土壤水分获取的影响
机译:使用光/热红外和微波测量协同卷发地确定精细空间分辨率下全天表面土壤水分
机译:从多极化雷达对裸露土壤表面的观测中定量检索土壤水分和表面粗糙度
机译:一种利用协同主动/被动微波数据在裸露的土壤表面上检索土壤水分的算法
机译:开发用于热红外和被动微波土壤水分回收的双重同化方法。
机译:基于神经网络的校准IEM和Dubois模型从Sentinel-1 SAR数据中获取裸土表面水分
机译:a practical algorithm for estimating surface soil moisture using combined optical and thermal infrared data
机译:利用遥感土壤水分资料评价土壤水分迁移模型对裸露土壤的蒸发作用