Title :
Retrieval of soil moisture and roughness from quad-polarized airborne SAR
Author :
Dobson, M. Craig ; Pierce, Leland ; Oh, Yisok ; Stiles, James ; Ulaby, Fawwaz
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
An empirically based algorithm has been presented for the simultaneous retrieval of RMS roughness and volumetric moisture of the soil surface layer using quad-polarized radar backscatter. This algorithm was developed using scatterometer data acquired for non-vegetated soils. In the paper, the proposed algorithm is applied to polarimetric SAR imagery obtained by the JPL AIRSAR at P-, L- and C-bands. AIRSAR data obtained from agricultural areas in northern Michigan in June 1991 and eastern Oklahoma in June 1992 are used to demonstrate both the success and the limitations of the technique for both bare and vegetated soils
Keywords :
agriculture; aircraft instrumentation; backscatter; electromagnetic wave scattering; geophysical techniques; geophysics computing; hydrological techniques; image processing; moisture measurement; polarimetry; radar cross-sections; remote sensing; remote sensing by radar; soil; synthetic aperture radar; AD 1991 06; AD 1992 06; C-band; L-band; Michigan; Oklahoma; P-band; United States; agricultural areas; bare soils; empirically based algorithm; nonvegetated soil; polarimetric SAR imagery; quadpolarized airborne SAR; radar backscatter; roughness; scatterometer data; soil moisture; surface layer; vegetated soils; volumetric moisture; Airborne radar; Backscatter; Laboratories; Polarization; Radar imaging; Radar polarimetry; Rough surfaces; Soil moisture; Surface roughness; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322571
