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3-Pass D-InSAR for Estimation of Displacements Caused by October 2016 Central Italy Earthquake

Danisor, Cosmin and Datcu, Mihai (2018) 3-Pass D-InSAR for Estimation of Displacements Caused by October 2016 Central Italy Earthquake. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 1-4. EUSAR 2018, 2018-06-04 - 2018-06-07, Aachen, Germany. ISBN 978-3-8007-4636-1.

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Official URL: https://ieeexplore.ieee.org/document/8438024

Abstract

The choice between 2-pass or higher order pass D-InSAR algorithms to separate the displacements component of the interferometric phase represents a trade-off between the necessity to re-sample and coregister a low resolution external DEM to SAR acquisition geometry, and the necessity to unwrap an interferometric phase which contains the topographic component. Majority of works carried in this domain prefer the use of 2-pass D-InSAR algorithm. In this paper, reliable results are obtained by implementation of a 3-pass differential interferometric processing chain to estimate the displacements caused in Perugia region, Italy, by the earthquake which occured on 30.10.2016.

Item URL in elib:https://elib.dlr.de/123426/
Document Type:Conference or Workshop Item (Speech)
Title:3-Pass D-InSAR for Estimation of Displacements Caused by October 2016 Central Italy Earthquake
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Danisor, CosminUniversity Politehnica BucharestUNSPECIFIEDUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:June 2018
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 1-4
ISBN:978-3-8007-4636-1
Status:Published
Keywords:InSAR, earthquake, displacement
Event Title:EUSAR 2018
Event Location:Aachen, Germany
Event Type:international Conference
Event Start Date:4 June 2018
Event End Date:7 June 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Dumitru, Corneliu Octavian
Deposited On:28 Nov 2018 13:42
Last Modified:24 Apr 2024 20:27

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