Paper Info
Title
Deformation Parameter Estimation in Low Coherence Areas Using a Multisatellite InSAR Approach
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.
Year
DOI
Venue
2015
10.1109/TGRS.2015.2394394
Geoscience and Remote Sensing, IEEE Transactions  
Keywords
Field
DocType
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,Decorrelation,radar interferometry,synthetic aperture radar (SAR)
Interferometric synthetic aperture radar,Synthetic aperture radar,Remote sensing,Generalized least squares,Coherence (physics),Interferometry,Parametric statistics,Pixel,Estimation theory,Geodesy,Mathematics
Journal
Volume
Issue
ISSN
53
8
0196-2892
Citations 
PageRank 
References 
1
0.63
0
Authors
2
Name
Order
Citations
PageRank
Morishita, Yu.111.30
Ramon F. Hanssen210728.92