Title :
Estimation of soil moisture with l-band multi-polarization radar
Author :
Shi, Jack ; Chen, K.S. ; Kim, Youngjae ; van Zyl, J.J. ; Sun, Guofa ; O´Neill, P. ; Jackson, Thomas ; Entekhabi, Dara
Author_Institution :
ICESS, California Univ., Santa Barbara, CA
Abstract :
Through analyses of the model simulated database, we developed a technique to estimate surface soil moisture under HYDROS radar sensor (L-band multipolarizations and 40deg incidence) configuration. This technique includes two steps. First, it decomposes the total backscattering signals into two components - the surface scattering components (the bare surface backscattering signals attenuated by the overlaying vegetation layer) and the sum of the direct volume scattering components and surface-volume interaction components at different polarizations. From the model simulated data-base, our decomposition technique works quit well in estimation of the surface scattering components with RMSEs of 0.12, 0.25, and 0.55 dB for VV, HH, and VH polarizations, respectively. Then, we use the decomposed surface backscattering signals to estimate the soil moisture and the combined surface roughness and vegetation attenuation correction factors with all three polarizations
Keywords :
geomorphology; hydrological techniques; moisture; radar cross-sections; radar imaging; radar polarimetry; soil; HYDROS radar sensor; L-band multipolarization radar; RMSEs; VV/HH/VH polarization; backscattering signal decomposition; bare surface backscattering signal; combined surface roughness; direct volume scattering components; model simulated database; surface scattering components; surface soil moisture estimation; surface-volume interaction components; vegetation layer; Analytical models; Backscatter; Databases; L-band; Polarization; Radar scattering; Rough surfaces; Soil moisture; Surface roughness; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1368529