SENTINEL-1 DATA EXPLOITATION FOR AUTOMATIC SURFACE DEFORMATION TIME-SERIES GENERATION THROUGH THE SBAS-DINSAR PARALLEL PROCESSING CHAIN

被引：0

作者：

Zinno, Ivana ^{[1
]}

Bonano, Manuela ^{[1
,2
]}

Buonanno, Sabatino ^{[1
,3
]}

Casu, Francesco ^{[1
]}

De Luca, Claudio ^{[1
]}

Fusco, Adele ^{[1
]}

Riccardo, Lanari ^{[1
]}

Manunta, Michele ^{[1
]}

Manzo, Mariarosaria ^{[1
]}

Pepe, Antonio ^{[1
]}

机构：

[1] IREA CNR Napoli, Naples, Italy

[2] IMAA Tito Scalo, Tito, Italy

[3] Sapienza Univ Roma, Rome, Italy

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

基金：

欧盟地平线“2020”;

关键词：

P-SBAS; DInSAR; Cloud Computing;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this work we present an advanced interferometric processing chain, which is based on the DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS) approach, for the massive processing of SENTINEL-1 (S1) Interferometric Wide Swath (IWS) data. The P-SBAS S1 processing chain produces surface deformation time series, and the relevant mean velocity maps, in automatic and systematic way by efficiently exploiting Cloud Computing infrastructures, thus allowing us to perform DInSAR analyses at very large scale in reduced time frames. As experimental results, the overall mean deformation velocity map relevant to the Central and Southern Italy zone (from Lazio to Sicily), generated by processing in parallel about 300 S1 acquisitions within the Amazon Web Services Cloud Computing platform, is presented. Moreover, the displacement time series of some pixels located in volcanic deforming areas such as the Campi Flegrei Caldera (Napoli Bay area) and the Mt. Etna (Sicily) are shown.

引用

页码：5529 / 5532

页数：4

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