Chinese Academy of Surveying and Mapping, Beijing 100830, P.R.China;
Chinese Academy of Surveying and Mapping, Beijing 100830, P.R.China;
Chinese Academy of Surveying and Mapping, Beijing 100830, P.R.China;
Chinese Academy of Surveying and Mapping, Beijing 100830, P.R.China;
Chinese Academy of Surveying and Mapping, Beijing 100830, P.R.China;
Classification; multi-source remote sensing; Markov random field; biological visual information; ASAR; Maximum Likelihood; data fusion; classification; soil moisture;
机译:基于多源远程感测数据的土壤水分评估淮河盆地淮河流域数据
机译:遥感定量反演土壤水分及其关键因素分析
机译:基于多源遥感数据和GRNN模型的土壤水分空间和时间分辨率提高算法
机译:多源遥感数据土壤湿度信息提取的多级和多尺度因子分析
机译:用于自动提取北硬木林中微量尺度属性的多源遥感数据
机译:L波段微波遥感和土地数据同化可改善暴雨前土壤水分状况的表示以进行水文预报
机译:多源遥感数据提取土壤水分信息的多级多尺度因子分析