DocumentCode :
69738
Title :
Deformation Parameter Estimation in Low Coherence Areas Using a Multisatellite InSAR Approach
Author :
Morishita, Yu. ; Hanssen, Ramon F.
Author_Institution :
Geospatial Inf. Authority of Japan, Tsukuba, Japan
Volume :
53
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
4275
Lastpage :
4283
Abstract :
Persistent scatterer (PS) interferometry and small baseline subset algorithms can be used to estimate time series of surface deformation with high precision. In areas with low coherence, and in the absence of sufficient PS, the estimation of reliable phase information can be cumbersome. Here, we report a successful approach for estimating deformation at pasture on drained peat soils using the integrated use of data from several satellite missions, a parametric deformation model with a generalized least squares method, and spatial averaging over statistically homogeneous pixels. The developed methodology is analyzed and applied on a test site in The Netherlands, where we report local subsidence rates and periodic signal over the peat and pasture areas.
Keywords :
decorrelation; deformation; geophysical techniques; least mean squares methods; radar interferometry; remote sensing by radar; soil; synthetic aperture radar; time series; The Netherlands; drained peat soils; least squares method; local subsidence rates; low coherence areas; multisatellite InSAR; pasture periodic signal; peat periodic signal; persistent scatterer interferometry; satellite data; small baseline subset algorithms; statistically homogeneous pixels; surface deformation parameter estimation; Coherence; Decorrelation; Deformable models; Estimation; Satellites; Soil; Synthetic aperture radar; Decorrelation; radar interferometry; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2015.2394394
Filename :
7042919
Link To Document :
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