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An improved algorithm for retrieval of snow wetness using C-band AIRSARThis study shows recent results of our efforts to develop and verify an algorithm for snow wetness retrieval from a polarimetric SAR (Synthetic Aperture Radar). Our algorithm is based on the first-order scattering model with consideration of both surface and volume scattering. It operates at C-band and requires only rough information about the ice volume fraction in snowpack. Comparing ground measurements and inferred from JPL AIRSAR data, the results showed that the relative error inferred from SAR imagery was within 25 percent. The inferred snow wetness from different looking geometries (two flight passes) provided consistent results within 2 percent. Both regional and point measurement comparisons between the ground and SAR derived snow wetness indicates that the inversion algorithm performs well using AIRSAR (Airborne Synthetic Aperture Radar) data and should prove useful for routine and large-area snow wetness (in top layer of a snowpack) measurements.
Document ID
19950017534
Document Type
Conference Paper
Authors
Shi, Jiancheng (Innsbruck Univ. Austria)
Dozier, Jeff (Innsbruck Univ. Austria)
Rott, Helmut (Innsbruck Univ. Austria)
Date Acquired
September 6, 2013
Publication Date
October 25, 1993
Publication Information
Publication: JPL, Summaries of the 4th Annual JPL Airborne Geoscience 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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IDRelationTitle19950017497Analytic PrimarySummaries of the 4th Annual JPL Airborne Geoscience Workshop. Volume 2: TIMS Workshop