Abstract
This paper presents a web tool for the unsupervised retrieval of Earth’s surface deformation from Synthetic Aperture Radar (SAR) satellite data. The system is based on the implementation of the Differential SAR Interferometry (DInSAR) algorithm referred to as Parallel Small BAseline Subset (P-SBAS) approach, within the Grid Processing on Demand (G-POD) environment that is a part of the ESA’s Geohazards Exploitation Platform (GEP). The developed on-demand web tool, which is specifically addressed to scientists that are non-expert in DInSAR data processing, permits to set up an efficient on-line P-SBAS processing service to produce surface deformation mean velocity maps and time series in an unsupervised manner. Such results are obtained by exploiting the available huge ERS and ENVISAT SAR data archives; moreover, the implementation of the Sentinel-1 P-SBAS processing chain is in a rather advanced status and first results are already available. Thanks to the adopted strategy to co-locate both DInSAR algorithms and computational resources close to the SAR data archives, as well as the provided capability to easily generate the DInSAR results, the presented web tool may contribute to drastically expand the user community exploiting the DInSAR products and methodologies.
Highlights
The knowledge of Earth’s surface deformation provides key insights into phenomena of great interest for the scientific community and for regional and national authorities
June 2015 in order to assess the performance of the Parallel Small BAseline Subset (P-Small BAseline Subset (SBAS)) processing chain implemented within the
In this paper we presented an on-demand and unsupervised web tool for the generation of Differential SAR Interferometry (DInSAR)
Summary
The knowledge of Earth’s surface deformation provides key insights into phenomena of great interest for the scientific community and for regional and national authorities. DInSAR was developed to analyze single deformation episodes, such as earthquakes [5], but it has subsequently evolved towards the study of temporal behavior of the detected displacements This evolution has been possible thanks to (a) the availability of temporally extended SAR data archives and (b) the implementation of the so-called “multi-temporal” ( referred to as “advanced”) DInSAR algorithms [6,7,8,9,10,11,12,13,14] that permit the generation of surface deformation time series (and the corresponding mean velocity maps) of an observed area through the exploitation of a sequence of interferograms. The direct access of the G-POD environment to the ESA SAR data Virtual Archive 4 [22], together with a user-friendly interface, allows us to set up an efficient and on-demand P-SBAS processing web tool addressed to scientists that are less expert on interferometric SAR data processing
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