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

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

Manunta M;Bonano M;Buonanno S;Casu F;De Luca C;De Luca C;Fusco A;Lanari R;Manzo M;Ojha C;Pepe A;Zinno I
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
2016
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
Inglese
36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
2016-November
3890
3893
9781509033324
http://www.scopus.com/record/display.url?eid=2-s2.0-85007481710&origin=inward
Sì, ma tipo non specificato
10 July 2016, 15 July 2016
Beijing
deformation time-series
DInSAR
P-SBAS
Sentinel-1
11
none
Manunta, M.; Bonano, M.; Buonanno, S.; Casu, F.; De Luca, C.; De Luca, C.; Fusco, A.; Lanari, R.; Manzo, M.; Ojha, C.; Pepe, A.; Zinno, I.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/359555
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