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

M. Manunta, M. Bonano, S. Buonanno, F. Casu, C. Luca, A. Fusco, R. Lanari, M. Manzo, C. Ojha, A. Pepe, I. Zinno
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引用次数: 8

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.
面向海量系统Sentinel-1数据处理的无监督并行SBAS-DInSAR链
在这项工作中,我们提出了一个有效的干涉处理链,基于先进的DInSAR算法,称为并行小基线子集(P-SBAS),用于生成Sentinel-1A (S1A)干涉宽幅变形时间序列,该算法能够利用分布式计算架构。所提出的S1A P-SBAS处理链已在ESA地质灾害开发平台中成功实施,为P-SBAS位移时间序列的无监督生成提供了按需自动服务。为了了解所提出的S1A处理链的有效性,作为初步结果,我们展示了在大陆尺度上进行的为期12天的干涉分析,该分析利用了在欧洲获得的150个S1A干涉对,总覆盖面积约为750万平方公里。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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