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Application of IEM model on soil moisture and surface roughness estimationMonitoring spatial and temporal changes of soil moisture are of importance to hydrology, meteorology, and agriculture. This paper reports a result on study of using L-band SAR imagery to estimate soil moisture and surface roughness for bare fields. Due to limitations of the Small Perturbation Model, it is difficult to apply this model on estimation of soil moisture and surface roughness directly. In this study, we show a simplified model derived from the Integral Equation Model for estimation of soil moisture and surface roughness. We show a test of this model using JPL L-band AIRSAR data.
Document ID
19950027395
Document Type
Conference Paper
Authors
Shi, Jiancheng (California Univ. Santa Barbara, CA., United States)
Wang, J. R. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Oneill, P. E. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hsu, A. Y. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Engman, E. T. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
September 6, 2013
Publication Date
January 23, 1995
Publication Information
Publication: JPL, Summaries of the Fifth Annual JPL Airborne Earth Science Workshop. Volume 3: AIRSAR Workshop
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19950027368Analytic PrimarySummaries of the Fifth Annual JPL Airborne Earth Science Workshop. Volume 2: TIMS Workshop