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Unsupervised parallel SBAS-DInSAR chain for massive and systematic Sentinel-1 data processing

Contributo in Atti di convegno
Data di Pubblicazione:
2016
Abstract:
In this work we present an efficient interferometric processing chain, based on the advanced DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS), for the generation of Sentinel-1A (S1A) Interferometric Wide Swath deformation time-series, which is able to exploit distributed computing architectures. The presented S1A P-SBAS processing chain has been successfully implemented within the ESA Geohazard Exploitation Platform to provide an on-demand automatic service for the unsupervised generation of P-SBAS displacement time-series. To give an idea of the effectiveness of the presented S1A processing chain, as a preliminary result we show a 12-days interferometric analysis at continental scale, carried out by exploiting 150 S1A interferometric pairs acquired over Europe for an overall covered area of about 7,500,000 km2
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
deformation time-series; DInSAR; P-SBAS; Sentinel-1
Elenco autori:
DE LUCA, Claudio; Ojha, Chandrakanta; Fusco, Adele; Buonanno, Sabatino; Lanari, Riccardo; Pepe, Antonio; Casu, Francesco; Manunta, Michele; Manzo, Mariarosaria; Bonano, Manuela; Zinno, Ivana
Autori di Ateneo:
BONANO MANUELA
BUONANNO SABATINO
CASU FRANCESCO
DE LUCA CLAUDIO
FUSCO ADELE
LANARI RICCARDO
MANUNTA MICHELE
PEPE ANTONIO
ZINNO IVANA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/359555
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http://www.scopus.com/record/display.url?eid=2-s2.0-85007481710&origin=inward
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