publication . Article . 2016

A Cloud Computing Solution for the Efficient Implementation of the P-SBAS DInSAR Approach

Ivana Zinno; Francesco Casu; Claudio De Luca; Stefano Elefante; Riccardo Lanari; Michele Manunta;
Open Access English
  • Published: 16 Sep 2016 Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, volume 10, issue 3, pages 802-817 (issn: 1939-1404, eissn: 2151-1535, Copyright policy)
Abstract
We present an efficient Cloud Computing (CC) implementation of the Parallel Small BAseline Subset (P-SBAS) algorithm, which is an advanced Differential Interferometric Synthetic Aperture Radar (DInSAR) technique for the generation of Earth surface displacement time series through distributed computing infrastructures. The rationale of our approach consists in properly distributing the large data volumes and the processing tasks involved in the P-SBAS chain among the available (virtual and/or physical) computing nodes of the CC infrastructure, so that each one of these elements can concurrently work on data that are physically stored on its own local volume. To d...
Persistent Identifiers
Subjects
free text keywords: Computers in Earth Sciences, Atmospheric Science, Cloud Computing (CC), DInSAR, Earth surface deformation, Parallel Small BAseline Subset (P-SBAS), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809, Scheduling (computing), Data transmission, Real-time computing, Cloud computing, business.industry, business, Computer science, Synthetic aperture radar, Remote sensing, Scalability, Interferometric synthetic aperture radar, Data flow diagram, Workflow
Funded by
EC| EPOS IP
Project
EPOS IP
EPOS Implementation Phase
  • Funder: European Commission (EC)
  • Project Code: 676564
  • Funding stream: H2020 | RIA
Validated by funder
Communities
EPOSEPOS Projects: EPOS IP
Rural Digital Europe
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