DocumentCode :
3070722
Title :
Observational analysis of soil moisture effects on DInSAR signals
Author :
Zwieback, Simon ; Hajnsek, Irena ; Hensley, Scott
Author_Institution :
Inst. of Environ. Eng., ETH Zurich, Zurich, Switzerland
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
4046
Lastpage :
4049
Abstract :
Different mechanisms for the impact of soil moisture on interferometric radar data have been proposed, but its magnitude, sign and even presence have barely been studied empirically and thus remain poorly understood. In this study the dependence of the phase and coherence magnitude on soil moisture was inferred empirically with regression techniques: this was done for two airborne data sets at L band. The phase dependence was significant (α = 0.05) for more than 70% of the fields at HH polarization, its sign corresponding to an increase in optical path upon wetting. This trend was similar in both campaigns, whereas the prevalence of soil moisture-related decorrelation differs. These results are only consistent with a dielectric origin of the soil moisture effects, and not with soil swelling or the penetration depth hypothesis.
Keywords :
geophysical signal processing; radar interferometry; regression analysis; remote sensing by radar; soil; DInSAR signals; coherence magnitude; interferometric radar data; observational analysis; phase dependence; regression technique; soil moisture effects; Coherence; Dielectrics; Soil moisture; Synthetic aperture radar; Vegetation mapping; DInSAR; deformation; polarimetry; soil moisture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723721
Filename :
6723721
Link To Document :
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