SURFACE DEFORMATION MAPPING OF ITALY THROUGH THE P-SBAS DINSAR PROCESSING OF SENTINEL-1 DATA IN A CLOUD COMPUTING ENVIRONMENT

被引:0
作者
Zinno, I. [1 ]
Bonano, M. [1 ,2 ]
Buonanno, S. [1 ]
Casu, F. [1 ]
De Luca, C. [1 ]
Lanari, R. [1 ]
Manzo, M. [1 ]
Manunta, M. [1 ]
Zeni, G. [1 ]
机构
[1] CNR, IREA, Via Diocleziano 328, I-80124 Naples, Italy
[2] CNR, IMAA, I-85050 Tito, Italy
来源
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
基金
欧盟地平线“2020”;
关键词
Sentinel-1; DInSAR; P-SBAS; deformation time-series; Cloud Computing; ALGORITHM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this work we implement a completely automatic interferometric processing chain, based on the well-known advanced DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS), for the generation of Sentinel-1 (S-1) Interferometric Wide Swath (IWS) deformation mean velocity maps and time-series of very wide areas, implemented within the Amazon Web Services (AWS) Elastic Cloud Compute environment. Our processing chain consists of the initial data query to the S-1 archive that we created on the AWS S3 storage, then the data transfer to the AWS computing nodes, the data processing and, finally, the transfer of the obtained interferometric results back to the original S3 storage. In order to demonstrate the capability of the implemented Cloud-based processing chain to deal with massive amount of data, we focus our analysis on the whole Italian territory by processing all the available data acquired both from ascending and descending orbits within the October 2014 March 2017 time interval. As final result we combine the retrieved LOS displacements in order to compute the mean velocity maps and time-series of the vertical and East-West surface deformation components.
引用
收藏
页码:2241 / 2243
页数:3
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