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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

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Computational complexity; Deformation; Geodetic satellites; Information retrieval; Synthetic aperture radar; Computational resources; D-inSAR; Differential SAR interferometry; Earth's surface; G-POD; GEP; Small baseline subsets; Surface deformation; Data handling
Elenco autori:
Elefante, Stefano; Zinno, Ivana; DE LUCA, Claudio; Lanari, Riccardo; Casu, Francesco; Manunta, Michele
Autori di Ateneo:
CASU FRANCESCO
DE LUCA CLAUDIO
LANARI RICCARDO
MANUNTA MICHELE
ZINNO IVANA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/312186
Pubblicato in:
REMOTE SENSING (BASEL)
Journal
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URL

https://www.mdpi.com/2072-4292/7/11/15630
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