马建新,卢小平,孟庆岩,王春梅,谢秋霞

• 1:河南理工大学矿山空间信息技术国家测绘地理信息局重点实验室
• 2:中国科学院遥感与数字地球研究所
• 3:山东科技大学测绘科学与工程学院

摘要(Abstract)：

针对土壤水分反演经验模型使用范围受限、而理论模型相对复杂的问题,该文利用积分方程模型及经验相关长度定标模型,分析均方根高度、地表相关长度、土壤体积含水量对雷达后向散射系数组合的影响;结合RADARSAT-2全极化C波段雷达数据和野外实测数据,构建研究区均方根高度反演模型;将该模型与Dubois模型、介电模型进行结合以反演表层土壤含水量,并对反演值进行线性校正,最终实现裸土区表层土壤水分反演。实验结果表明,HH、VV极化下土壤水分实测值与反演值绝对误差在0.06内的点数分别达到总点数的78%和68%,证明该方法具有一定的可靠性和实用性,可为地表均方根高度、土壤水分反演提供方法和借鉴。

关键词(KeyWords)： RADARSAT-2;IEM模拟;粗糙度定标;土壤水分

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41471310);; 高分辨率对地观测系统重大专项(08-Y30BO7-9001-13/15;09-Y30B03-9001-13/15);; 河南省高校科技创新团队支持计划项目(14IRTSTHN026);; 中科院遥感与数字地球研究所所长基金项目(Y5SJ0600CX)

作者(Author): 马建新,卢小平,孟庆岩,王春梅,谢秋霞

DOI: 10.16251/j.cnki.1009-2307.2016.02.020

参考文献(References)：

• [1]赵春江,杨贵军,薛绪掌,等.基于互补相关模型和IKONOS数据的农田蒸散时空特征分析[J].农业工程学报,2013,29(8):115-124.
• [2]MERZOUKI A,MCNAIRN H,PACHECO A.Mapping soil moisture using RADARSAT-2data and local autocorrelation statistics[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2011,4(1):128-137.
• [3]BALLESTER B J D,JAGDHUBER T,LOPEZ S J M,et al.Soil moisture estimation in vineyards by means of C-band radar measurement[C]//10th European Conference on Synthetic Aperture Radar,2014:1-4.
• [4]SHEN X Y,HONG Y,QIN Q M.A semi-physical microwave surface emission model for soil moisture retrieval[C]//IEEE Transactions on Geoscience and Remote Sensing,2015,53(7):4079-4089.
• [5]仇成强.基于SAR图像的土壤含水量反演方法研究[D].成都:电子科技大学,2012.
• [6]OH Y,SARABANDI K,ULABY F T.Semi-empirical model of the ensemble averaged differential Mueller matrix for microwave backscattering from bare soil surface[C]//IEEE Transactions on Geoscience and Remote Sensing,2002,40(6):1348-1355.
• [7]DUBOIS P C,ZYL J V,ENGMAN T.Measuring soil moisture with imaging radars[C]//IEEE Transactions on Geoscience and Remote Sensing,1995,33(4):915-926.
• [8]WU T D,CHEN K S.A reappraisal of the validity of the IEM model for backscattering from rough surfaces[C]//IEEE Transaction on Geoscience and Remote Sensing,2004,42(4):743-753.
• [9]SHI J C,WANG J,HSU A Y,et al.Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data[C]//IEEE Transactions on Geoscience and Remote Sensing,1997,35(5):1254-1266.
• [10]CHEN K S,YEN S K,HUANG W P.A simple model for retrieving bare soil moisture from radar-scattering coefficients[J].Remote Sensing of Environment,1995,54(2):121-126.
• [11]HALLIKAINEN M T,ULABY F T,DOBSON M C,et al.Microwave dielectric behavior of wet soil-part I:empirical models and experimental observations[C].IEEE Transaction on Geoscience and Remote Sensing,1985,23(1):25-34.
• [12]DOBSON M C,ULABY F T,HALLIKAINEN M T,et al.Microwave dielectric behavior of wet soil-part II:dielectric mixing models[C]//IEEE Transaction on Geoscience and Remote Sensing,1985,23(1):35-46.
• [13]BAGHDADI N,GHERBOUDIJ I,ZRIBI M,et al.Semi-empirical calibration of the IEM backscattering model using radar image sand moisture and roughness field measurement[J].International Journal of Remote Sensing,2004,25(18):3593-3623.
• [14]ULABY F T,MOORE R K,FUNG A K.Microwave remote sensing:active and passive.volume III:scattering and emission theory,advanced systems and applications[M].Dedham:Artech House,1986:1797-1848.
• [15]王春梅,余涛,孟庆岩,等.基于全极化雷达数据反演夏玉米覆盖农田表层土壤含水量[J].水资源与水工程学报,2014,25(2):29-34.
• [16]FUNG K,LI Z,CHEN K S.Backscattering from a randomly rough dielectric surface[C].IEEE Transaction on Geoscience and Remote Sensing,1992,30(2):356-369.
• [17]WU T D,CHEN K S,SHI J C,et al.A transition model for the reflection coefficient in surface scattering[C].IEEE Transaction on Geoscience and Remote Sensing,2001,39(9):2040-2050.
• [18]ALVAREZ M J,CASALI J,GONZALEZ A M,et al.Assessment of the operational applicability of RADARSAT-1data for surface soil moisture estimations[C].IEEE Transaction on Geoscience and Remote Sensing,2006,44(4):913-824.
• [19]BAGHDADI N,HOLAB N,ZRIBI M.Calibration of the integral equation model for SAR data in C-band and HH and VV polarizations[J].International Journal of Remote Sensing,2006,27(4):805-816.