余凡, 李海涛, 张承明, 万紫, 刘江, 赵颖. 利用双极化微波遥感数据反演土壤水分的新方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(2): 225-228. DOI: 10.13203/j.whugis20120527
引用本文: 余凡, 李海涛, 张承明, 万紫, 刘江, 赵颖. 利用双极化微波遥感数据反演土壤水分的新方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(2): 225-228. DOI: 10.13203/j.whugis20120527
YU Fan, LI Haitao, ZHANG Chengming, WAN Zi, LIU Jiang, ZHAO Ying. A New Approach for Surface Soil Moisture Retrieving UsingTwo-polarized Microwave Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 2014, 39(2): 225-228. DOI: 10.13203/j.whugis20120527
Citation: YU Fan, LI Haitao, ZHANG Chengming, WAN Zi, LIU Jiang, ZHAO Ying. A New Approach for Surface Soil Moisture Retrieving UsingTwo-polarized Microwave Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 2014, 39(2): 225-228. DOI: 10.13203/j.whugis20120527

利用双极化微波遥感数据反演土壤水分的新方法

A New Approach for Surface Soil Moisture Retrieving UsingTwo-polarized Microwave Remote Sensing Data

  • 摘要: 目的 提出了一种基于微波双极化数据的土壤水分反演经验模型,该模型引入了新的综合粗糙度参数Rs= S2/槡 L来描述地表粗糙状况,将两个粗糙度参数均方根高度S和相关长度L 合二为一,因而模型的未知量仅为Rs与法向菲涅尔反射系数Г0。基于 AIEM 模型数值模拟,建立了后向散射系数与 Rs、Г0的经验关系,并利用两个极化的微波数据同时反演得到粗糙度参数Rs和Г0,进而得到地表土壤水分。实测数据表明,该模型反演的土壤水分与地表实测值相关性较高(R2=0.681,RMS=0.043),在土壤水分反演方面具有较大的潜力。

     

    Abstract: Objective This paper proposes an original experiential methodology to retrieve bare surface soil mois-ture by two-polarized microwave remote sensing data.In the model,we combined the roughness pa-rameters,the root mean square Sand correlative length L,and introduced a new synthetic roughnessparameter Rsto describe the land surface.So,the unknown parameter in this model reduces to RsandFresnel reflection coefficient in normal directionГ0.Then,Г0and Rscan both be retrieved using two-polarized microwave data.In situ measurements from Heihe experiments were used to test the empiri-cal model.Results indicate that there is a strong linear relationship between the estimated soil mois-ture and the in situ measurements(R2=0.681,RMS=0.043).

     

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