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Proceedings Paper

Estimation of soil moisture and surface roughness parameters using L-band SAR measurements
Author(s): Jiancheng Shi; Peggy E. O'Neill; Ann Hsu; Jakob J. Vanzyl; Mark S. Seyfried
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Paper Abstract

This paper reports preliminary results of a study using L-band SAR imagery to estimate soil moisture and surface roughness for bare fields in a mountain watershed. The small perturbation model requires that the surface roughness profile deviates only slightly from that of a smooth surface. This condition is seldom met by most natural surfaces. Thus, the classic treatment of the scattering model has only limited usage. In this study, we show a simplified model derived from the integral equation model for estimation of soil moisture and surface roughness. We then test this model using JPL L-band AIRSAR data.

Paper Details

Date Published: 31 January 1995
PDF: 9 pages
Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); doi: 10.1117/12.200726
Show Author Affiliations
Jiancheng Shi, Univ. of California/Santa Barbara (United States)
Peggy E. O'Neill, NASA Goddard Space Flight Ctr. (United States)
Ann Hsu, NASA Goddard Space Flight Ctr. (United States)
Jakob J. Vanzyl, Jet Propulsion Lab. (United States)
Mark S. Seyfried, USDA/ARS (United States)


Published in SPIE Proceedings Vol. 2314:
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
Eric Mougin; K. Jon Ranson; James Alan Smith, Editor(s)

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