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Remote Sens. 2015, 7(11), 15630-15650; doi:10.3390/rs71115630

An On-Demand Web Tool for the Unsupervised Retrieval of Earth’s Surface Deformation from SAR Data: The P-SBAS Service within the ESA G-POD Environment

1
IREA-CNR, via Diocleziano 328, 80124 Napoli, Italy
2
Department of Electrical and Information Technology Engeneering (DIETI), University of Naples, Federico II, via Claudio 21, 80124 Napoli, Italy
3
ESA Research and Service Support, via Galileo Galilei 1, 00044 Frascati, Italy
4
Progressive Systems Srl, Parco Scientifico di Tor Vergata, 00133 Rome, Italy
5
Department of Geodesy and Geoinformation, University of Technology, 1040 Vienna, Austria
*
Author to whom correspondence should be addressed.
Academic Editors: Zhong Lu and Prasad S. Thenkabail
Received: 9 September 2015 / Revised: 31 October 2015 / Accepted: 10 November 2015 / Published: 19 November 2015
View Full-Text   |   Download PDF [6587 KB, uploaded 24 November 2015]   |  

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. View Full-Text
Keywords: Earth’s surface deformation; DInSAR; P-SBAS; G-POD; GEP Earth’s surface deformation; DInSAR; P-SBAS; G-POD; GEP
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

De Luca, C.; Cuccu, R.; Elefante, S.; Zinno, I.; Manunta, M.; Casola, V.; Rivolta, G.; Lanari, R.; Casu, F. An On-Demand Web Tool for the Unsupervised Retrieval of Earth’s Surface Deformation from SAR Data: The P-SBAS Service within the ESA G-POD Environment. Remote Sens. 2015, 7, 15630-15650.

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