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The Potential of InSAR for Quantitative Surface Parameter Estimation

Hajnsek, Irena and Cloude, Shane (2005) The Potential of InSAR for Quantitative Surface Parameter Estimation. Can. J. Remote Sensing, vol. 31 (no. 1), pp. 85-102.

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Abstract

Although the problems of soil moisture and surface roughness estimation of bare surfaces have been extensively analyzed in terms of conventional polarimetric synthetic aperture radar (SAR) data, the information content of polarimetric interferometric SAR (Pol-InSAR) data regarding surface parameters has not yet been fully investigated. We consider this problem and show that the main contribution to roughness and moisture dependence of coherent surface scattering in Pol-InSAR is the signal-to-noise ratio (SNR). For the estimation of surface parameters, a new hybrid surface scattering model has been developed which is based on the polarization dependence of SNR and its impact on the observed coherences. We show that the model is invertible and allows us to recover surface roughness and moisture estimates from the ratios of measured InSAR coherence. Further, the hybrid model is used for a study of sensitivity analysis. Lastly, we show validation results from experimental Pol-InSAR data from the Deutsche Forschungsanstalt fur Luft-und Raumfahrt (German Aerospace Center (DLR)) E-SAR system at L-band. These results indicate that Pol-InSAR has high potential, to be used as an alternative method, for quantitative moisture and roughness estimates of bare surfaces.

Item URL in elib:https://elib.dlr.de/6297/
Document Type:Article
Additional Information: LIDO-Berichtsjahr=2005,
Title:The Potential of InSAR for Quantitative Surface Parameter Estimation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hajnsek, IrenaUNSPECIFIEDUNSPECIFIED
Cloude, ShaneUNSPECIFIEDUNSPECIFIED
Date:2005
Journal or Publication Title:Can. J. Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:vol. 31
Page Range:pp. 85-102
Status:Published
Keywords:InSAR, Surface parameter estimation
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - no assignment (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Deposited By: Hajnsek, Dr.rer.nat. Irena
Deposited On:03 Feb 2006
Last Modified:06 Jan 2010 20:02

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