Coherence and PS-based Advanced DInSAR analysis tools
Erlinda Biescas(1) , Oriol Monserrat(1)
, Marta Agudo(1)
, Bruno Crippa(2)
, and Michele Crosetto(1)
Institute of Geomatics,
Av. Canal Olímpic, s/n,
E-08860 Castelldefels (Barcelona),
(2) University of Milan, Via Cicognara, 7, I-20129 Milan, Italy
The paper will focus on the deformation monitoring based on remotely sensed radar data and the differential interferometric SAR technique (DInSAR). The authors have developed their own Advanced DInSAR procedure (A-DInSAR) to estimate land deformation starting from a time series of complex SAR images. The images are connected pair wise by multiple differential interferograms. The phase of each interferogram gives the information on the land deformation between the two considered images. Using the proposed procedure, from a set of interferograms it is possible to estimate the linear and the non linear deformation contributions, the residual topographic error, and the atmosphere contribution of each SAR image. The paper will describe the main steps of the procedure:
(1) Calculate the linear deformation and topographic component over a first set of pixels. The procedure work with both the coherence-based selection criterion (with multi-look SAR images, typically 5x1 or 10x2), or the Persistent Scatterers selection criterion.
(2) Eliminate the linear deformation and the topographic component from the interferometric phases.
(3) Calculate the atmospheric contribution and estimate the non linear deformation component studying the temporal correlation of the data.
(4) Iterate the procedure.
The effectiveness of the proposed procedure will be illustrated by showing the results obtained over different test cases.