A parameterized multifrequency-polarization surface emission model

被引:141
作者
Shi, JC [1 ]
Jiang, LM
Zhang, LX
Chen, KS
Wigneron, JP
Chanzy, A
机构
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Beijing Normal Univ, Beijing 100101, Peoples R China
[3] Univ Calif Santa Barbara, Inst Computat Earth Syst Sci, Santa Barbara, CA 93106 USA
[4] Beijing Normal Univ, Ctr Remote Sensing, Beijing 100875, Peoples R China
[5] Beijing Normal Univ, GIS, Beijing 100875, Peoples R China
[6] Natl Cent Univ, Ctr Space & Remote Sensing Res, Chungli 32054, Taiwan
[7] Inst Natl Rech Agron, F-84914 Avignon, France
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2005年 / 43卷 / 12期
关键词
microwave; modeling; surface emissivity; roughness;
D O I
10.1109/TGRS.2005.857902
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
This study develops a parameterized bare surface emission model for the applications in analyses of the passive microwave satellite measurements from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E). We first evaluated the capability of the advanced integral equation model (AIEM) in simulating wide-band and high-incidence surface emission signals in comparison with INRA's field experimental data obtained in 1993. The evaluation results showed a very good agreement. With the confirmed confidence, we generated a bare surface emission database for a wide range of surface dielectric and roughness properties under AMSR-E sensor configurations using the AIEM model. Through the evaluations of the commonly used semiempirical models with both the AIEM simulated and the field experimental data, we developed a parameterized multifrequency-polarization surface emission model-the Qp model. This model relates the effects of the surface roughness on the emission signals through the roughness variable Qp at the polarization p. The Qp can be simply described as a single-surface roughness property-the ratio of the surface rms height and the correlation length. The comparison of the emissivity simulations by the Qp and AIEM models indicated that the absolute error is extremely small at the magnitude of 10(-3). The newly developed surface emission model should be very useful in modeling, improving our understanding, analyses, and predictions of the AMSR-E measurements.
引用
收藏
页码:2831 / 2841
页数:11
相关论文
共 26 条
[1]  
[Anonymous], 1982, RADAR REMOTE SENSING
[2]   MICROWAVE DIELECTRIC-PROPERTIES OF A SILT-LOAM AT HIGH-FREQUENCIES [J].
CALVET, JC ;
WIGNERON, JP ;
CHANZY, A ;
RAJU, S ;
LAGUERRE, L .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (03) :634-642
[3]  
Chang ATC, 1997, ALGORITHM THEORETICA
[4]   Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method Simulations [J].
Chen, KS ;
Wu, TD ;
Tsang, L ;
Li, Q ;
Shi, JC ;
Fung, AK .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (01) :90-101
[5]   A note on the multiple scattering in an IEM model [J].
Chen, KS ;
Wu, TD ;
Tsay, MK ;
Fung, AK .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (01) :249-256
[6]   EFFECT OF SURFACE-ROUGHNESS ON THE MICROWAVE EMISSION FROM SOILS [J].
CHOUDHURY, BJ ;
SCHMUGGE, TJ ;
CHANG, A ;
NEWTON, RW .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1979, 84 (NC9) :5699-5706
[7]   On the characterization of agricultural soil roughness for radar remote sensing studies [J].
Davidson, MWJ ;
Le Toan, T ;
Mattia, F ;
Satalino, G ;
Manninen, T ;
Borgeaud, M .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (02) :630-640
[8]   MICROWAVE DIELECTRIC BEHAVIOR OF WET SOIL .2. DIELECTRIC MIXING MODELS [J].
DOBSON, MC ;
ULABY, FT ;
HALLIKAINEN, MT ;
ELRAYES, MA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1985, 23 (01) :35-46
[9]  
Fung A.K., 1994, Microwave Scattering and Emission Models and their Applications
[10]   VEGETATION EFFECTS ON THE MICROWAVE EMISSION OF SOILS [J].
JACKSON, TJ ;
SCHMUGGE, TJ .
REMOTE SENSING OF ENVIRONMENT, 1991, 36 (03) :203-212