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InSAR Performance For Large Scale Deformation Measurements

Parizzi, Alessandro and Brcic, Ramon and De Zan, Francesco (2021) InSAR Performance For Large Scale Deformation Measurements. IEEE Transactions on Geoscience and Remote Sensing, 59 (10), pp. 8510-8520. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2020.3039006. ISSN 0196-2892.

[img] PDF - Postprint version (accepted manuscript)

Official URL: https://ieeexplore.ieee.org/document/9280350


This article deals with the analysis of InSAR performance for large-scale deformation measurement. The study evaluates the use of models, especially numerical weather prediction reanalysis, to mitigate disturbances in SAR interferograms. The impact of such corrections is evaluated by analyzing short-time baseline phase variograms in order to derive a lower bound for the interferometric accuracy, especially at large distances. The variance is then propagated from single interferograms to deformation rates. Finally, using GNSS measurements, the predicted error bars are validated on a large Sentinel-1 data set.

Item URL in elib:https://elib.dlr.de/139093/
Document Type:Article
Title:InSAR Performance For Large Scale Deformation Measurements
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Parizzi, AlessandroAlessandro.Parizzi (at) dlr.deUNSPECIFIED
Brcic, RamonRamon.Brcic (at) dlr.deUNSPECIFIED
De Zan, FrancescoFrancesco.DeZan (at) dlr.deUNSPECIFIED
Date:October 2021
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/TGRS.2020.3039006
Page Range:pp. 8510-8520
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Deformation, GNSS, InSAR, numerical weather prediction (NWP), performance.
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 - SAR methods
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Parizzi, Alessandro
Deposited On:03 Dec 2020 15:02
Last Modified:06 Oct 2021 16:35

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