陈基培,
刘艳民,
姚晓磊,
鱼京善,
北京师范大学水科学研究院，城市水循环与海绵城市技术北京市重点实验室， 100875 ，北京
基金项目:国家重点研发计划课题资助项目（2018YFC0406502）；国家自然科学基金资助项目（51779007，41671018）
详细信息
通讯作者:鱼京善（1965—）男，教授，博士. 研究方向：水文学与水资源. e-mail：jingshan@bnu.edu.cn
中图分类号:P339计量
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被引次数:0
出版历程
收稿日期:2020-01-07
网络出版日期:2020-07-29
刊出日期:2020-06-01
Soil moisture retrieval from remote sensing
Zhanjie LI,Jipei CHEN,
Yanmin LIU,
Xiaolei YAO,
Jingshan YU,
Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, 100875, Beijing, China
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摘要
摘要:土壤水分是陆面生态水文循环的重要组成部分. 及时、准确地获取土壤水分数据，对研究全球气候问题、构建流域水文模型、监测干旱等具有极其重要的意义. 遥感技术具有范围广和信息传输快等优点，为土壤水分监测提供了全新的手段. 本文梳理了可见光–近红外遥感、热红外遥感、可见光–近红外–热红外遥感、主动微波遥感、被动微波遥感的发展现状及对应的土壤水分反演方法，介绍了结合主被动微波遥感的GNSS-R技术，对土壤水分反演研究中的热点问题进行了归纳和总结，并展望了土壤水分遥感反演的发展趋势.
关键词:土壤水分/
遥感/
反演方法/
GNSS-R/
数据融合
Abstract:Soil moisture is an important part in land ecohydrological cycle, therefore it is of great significance to acquire soil moisture data timely and accurately in the study of global climate problems, in construction of watershed hydrological models and in monitoring droughts. Development of remote sensing techniques in the last few decades has enabled efficient methods to be developed to retrieve soil moisture parameter. Here, developments of visible-near infrared, thermal infrared, visible-near-thermal infrared, active microwave and passive microwave remote sensing, and corresponding soil moisture inversions are reviewed. GNSS-R technology combined with active and passive microwave remote sensing is discussed. Major works of remote sensing inversion of soil moisture are generalized, development trend of soil moisture remote sensing retrieval is summarized.
Key words:soil moisture/
remote sensing/
inversion method/
GNSS-R/
data fusion
