Abstract
This paper presents a comprehensive overview of the surface deformation retrieval capability of the Differential Synthetic Aperture Radar Interferometry (DInSAR) algorithm, referred to as Small BAseline Subset (SBAS) technique, in the context of active volcanic areas. In particular, after a brief description of the algorithm some experiments relevant to three selected case-study areas are presented. First, we concentrate on the application of the SBAS algorithm to a single-orbit scenario, thus considering a set of SAR data composed by images acquired on descending orbits by the European Remote Sensing (ERS) radar sensors and relevant to the Long Valley caldera (eastern California) area. Subsequently, we address the capability of the SBAS technique in a multipleorbit context by referring to Mt. Etna volcano (southern Italy) test site, with respect to which two different ERS data set, composed by images acquired both on ascending and descending orbits, are available. Finally, we take advantage of the capability of the algorithm to work in a multi-platform scenario by jointly exploiting two different sets of SAR images collected by the ERS and the Environment Satellite (ENVISAT) radar sensors in the Campi Flegrei caldera (southern Italy) area. The presented results demonstrate the effectiveness of the algorithm to investigate the deformation field in active volcanic areas and the potential of the DInSAR methodologies within routine surveillance scenario.
Highlights
Differential Synthetic Aperture Radar Interferometry (DInSAR) is a microwave remote sensing technique that allows us to investigate surface deformation phenomena with a cen-First applied to investigate single deformation events (Massonet et al, 1993; Peltzer and Rosen, 1995), the DInSAR methodology has been more recently exploited to analyze the temporal evolution of the detected displacements via the generation of deformation time series
In order to investigate the deformation of the Long Valley caldera, we analyzed with the Small BAseline Subset (SBAS) approach a data set composed by 21 descending orbit SAR images
The white square identifies the reference SAR pixel. b) Zoomed view of the Casa Diablo Hot Spring: the DInSAR mean deformation velocity map, superimposed on an orthophoto of the zone, is shown highlighting the location of the pixel labeled as CD. c) DInSAR Line Of Sight (LOS) deformation time series for the pixels marked by the white triangle labeled in (a) as RD. d) DInSAR LOS deformation time series for the pixels marked by the white triangle labeled in (a) as CD
Summary
Differential Synthetic Aperture Radar Interferometry (DInSAR) is a microwave remote sensing technique that allows us to investigate surface deformation phenomena with a cen-. First applied to investigate single deformation events (Massonet et al, 1993; Peltzer and Rosen, 1995), the DInSAR methodology has been more recently exploited to analyze the temporal evolution of the detected displacements via the generation of deformation time series For this purpose, the information available from each interferometric SAR data pair. The capability of the SBAS algorithm in a multi-platform scenario, where data produced by different radar sensors are properly combined to produce deformation time series, has been addressed This is the case of the Campi Flegrei caldera (southern Italy) area, with respect to which two different descending SAR data sets are available, where the former is composed by ERS-1/2 images acquired in the 1992-2005 time interval and the latter by those acquired since 2002 by the new ENVISAT-IS2 radar sensor, respectively. A section dedicated to the main conclusions of the work and future developments is provided
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