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