Title :
Development of a semi-empirical polarimetric scattering model for microwave radar observations from bare soil surfaces
Author :
Oh, Yisok ; Sarabandi, Kamal ; Ulaby, Fawwaz T.
Author_Institution :
Dept. of Radio Sci. & Eng., Hong Ik Univ., Seoul, South Korea
Abstract :
A semi-empirical polarimetric scattering model for microwave radar observations from bare soil surfaces was developed using polarimetric radar measurements and the knowledge based on the theoretical and numerical solutions. At first the angular and spectral dependencies of the measured radar backscatter for a wide range of roughness and moisture conditions are examined. Then, the measured scattering behavior was tested using theoretical and numerical solutions. Based on the experimental observations and the theoretical and numerical solutions, a semi-empirical model was developed for the backscattering coefficients in terms- of the surface roughness parameters (rms height and autocorrelation length) and the relative dielectric constant of the soil surface. The polarimetric model was found to yield very good agreement with the backscattering measurements of this study as well as with independent measurements. The semi-empirical polarimetric scattering model was also compared with other available scattering models
Keywords :
backscatter; electromagnetic wave scattering; geophysical techniques; hydrological techniques; moisture measurement; radar applications; radar cross-sections; radar polarimetry; remote sensing by radar; soil; angular dependence; backscattering; bare soil surface; dielectric constant; geophysical measurement technique; hydrology; incidence angle; land surface; microwave radar o; numerical solution; radar polarimetry; radar remote sensing; rough surface; semi-empirical polarimetric scattering model; semiempirical model; soil moisture; spectral dependence; surface roughness; terrain mapping; water content; Backscatter; Dielectric measurements; Moisture measurement; Radar measurements; Radar polarimetry; Radar scattering; Radar theory; Rough surfaces; Soil measurements; Surface roughness;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521102