Semiempirical Calibration of the Integral Equation Model for SAR Data in C-Band and Cross Polarization Using Radar Images and Field Measurements

被引:84
作者
Baghdadi, Nicolas [1 ]
Abou Chaaya, Jad [1 ]
Zribi, Mehrez [2 ]
机构
[1] Ctr Etud Machinisme Agr Genie Rural Eaux & Forets, UMR TETIS, F-34093 Montpellier 5, France
[2] Ctr Etud Spatiales BIOsphere, Inst Rech Dev, F-31401 Toulouse 9, France
关键词
Calibration; integral equation model (IEM); synthetic aperture radar (SAR) images; SOIL-MOISTURE; SURFACE-ROUGHNESS; BARE SOIL; BACKSCATTERING; BEHAVIOR; LENGTH; IEM;
D O I
10.1109/LGRS.2010.2050054
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The estimation of surface soil parameters (moisture and roughness) from synthetic aperture radar (SAR) images requires the use of well-calibrated backscattering models. The objective of this letter is to extend the semiempirical calibration of the backscattering integral equation model (IEM) initially proposed by Baghdadi et al. for HH and VV polarizations to HV polarization. The approach consisted in replacing the measured correlation length by a fitting/calibration parameter so that model simulations would closely agree with radar measurements. This calibration in C-band covers radar configurations with incidence angles between 24 degrees and 45.8 degrees. Good agreement was found between the backscattering coefficient provided by the SAR and that simulated by the calibrated version of the IEM.
引用
收藏
页码:14 / 18
页数:5
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