DocumentCode :
1134275
Title :
A parameterized surface reflectivity model and estimation of bare-surface soil moisture with L-band radiometer
Author :
Shi, Jiancheng ; Chen, K.S. ; Li, Qin ; Jackson, Thomas J. ; O´Neill, Peggy E. ; Tsang, Leung
Author_Institution :
Inst. for Comput. Earth Syst. Sci., Univ. of California, Santa Barbara, CA, USA
Volume :
40
Issue :
12
fYear :
2002
fDate :
12/1/2002 12:00:00 AM
Firstpage :
2674
Lastpage :
2686
Abstract :
Soil moisture is an important parameter for hydrological and climatic investigations. Future satellite missions with L-band passive microwave radiometers will significantly increase the capability of monitoring Earth´s soil moisture globally. Understanding the effects of surface roughness on microwave emission and developing quantitative bare-surface soil moisture retrieval algorithms is one of the essential components in many applications of geophysical properties in the complex Earth terrain by microwave remote sensing. We explore the use of the integral equation model (IEM) for modeling microwave emission. This model was validated using a three-dimensional Monte Carlo model. The results indicate that the IEM model can be used to simulate the surface emission quite well for a wide range of surface roughness conditions with high confidence. Several important characteristics of the effects of surface roughness on radiometer emission signals at L-band 1.4 GHz that have not been adequately addressed in the current semiempirical surface effective reflectivity models are demonstrated by using IEM-simulated data. Using an IEM-simulated database for a wide range of surface soil moisture and roughness properties, we developed a parameterized surface effective reflectivity model with three typically used correlation functions and an inversion model that puts different weights on the polarization measurements to minimize surface roughness effects and to estimate the surface dielectric properties directly from dual-polarization measurements. The inversion technique was validated with four years (1979-1982) of ground microwave radiometer experiment data over several bare-surface test sites at Beltsville, Maryland. The accuracies in random-mean-square error are within or about 3% for incidence angles from 20° to 50°.
Keywords :
moisture measurement; radiometry; soil; terrain mapping; 1.4 GHz; 3D Monte Carlo model; AD 1979 to 1982; Beltsville; L-band passive microwave radiometers; Maryland; USA; bare-surface soil moisture estimation; integral equation model; inversion model; microwave emission; microwave remote sensing; parameterized surface reflectivity model; polarization measurements; radiometer emission signals; retrieval algorithms; satellite missions; surface dielectric properties; surface effective reflectivity model; surface roughness; Dielectric measurements; Earth; Geophysical measurements; L-band; Microwave radiometry; Reflectivity; Remote monitoring; Rough surfaces; Soil moisture; Surface roughness;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2002.807003
Filename :
1176158
Link To Document :
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