Pair Selection Optimization for InSAR Time Series Processing

Autores
Smittarello, D.; d'Oreye, N.; Jaspard, M.; Derauw, Dominique Maurice; Samsonov, S.
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The ever-increasing amount of Synthetic Aperture Radar (SAR) data motivates the development of automatic processing chains to fully exploit the opportunities offered by these large databases. The Synthetic Aperture Radar Interferometry (InSAR) Mass processing Toolbox for Multidimensional time series is an optimized tool to automatically download SAR data, select the interferometric pairs, perform the interferometric mass processing, compute the geocoded deformation maps, invert and display the velocity maps and the 2D time series on a web page updated incrementally as soon as a new image is available. New challenges relate to data management and processing load. We address them through methodological improvements dedicated to optimizing the InSAR pair selection. The proposed algorithm narrows the classical selection based on the shortest temporal and spatial baselines thanks to a coherence proxy and balances the use of each image as Primary and Secondary images thanks to graph theory methods. We apply the processing to three volcanic areas characterized with different climate, vegetation, and deformation characteristics: the Virunga Volcanic Province (DR Congo), the Reunion Island (France), and the Domuyo and Laguna del Maule area (Chile-Argentina border). Compared to pair selection based solely on baseline criteria, this new tool produces similar velocity maps while reducing the total number of computed differential InSAR interferograms by up to 75%, which drastically reduces the computation time. The optimization also allows to reduce the influence of DEM errors and atmospheric phase screen, which increase the signal-to-noise ratio of the inverted displacement time series.
Fil: Smittarello, D.. European Centre Of Geodynamics And Seismology; Bélgica
Fil: d'Oreye, N.. European Centre Of Geodynamics And Seismology; Bélgica. National Museum of Natural History; Luxemburgo
Fil: Jaspard, M.. European Centre Of Geodynamics And Seismology; Bélgica
Fil: Derauw, Dominique Maurice. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. European Centre Of Geodynamics And Seismology; Bélgica. Centre Spatial de Liège; Bélgica
Fil: Samsonov, S.. Canada Centre For Mapping And Earth Observation; Canadá
Materia
GRAPH
GROUND DEFORMATION
INSAR TIME SERIES
MASTER
OPTIMIZATION
PAIR SELECTION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/202306
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/202306
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Pair Selection Optimization for InSAR Time Series ProcessingSmittarello, D.d'Oreye, N.Jaspard, M.Derauw, Dominique MauriceSamsonov, S.GRAPHGROUND DEFORMATIONINSAR TIME SERIESMASTEROPTIMIZATIONPAIR SELECTIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The ever-increasing amount of Synthetic Aperture Radar (SAR) data motivates the development of automatic processing chains to fully exploit the opportunities offered by these large databases. The Synthetic Aperture Radar Interferometry (InSAR) Mass processing Toolbox for Multidimensional time series is an optimized tool to automatically download SAR data, select the interferometric pairs, perform the interferometric mass processing, compute the geocoded deformation maps, invert and display the velocity maps and the 2D time series on a web page updated incrementally as soon as a new image is available. New challenges relate to data management and processing load. We address them through methodological improvements dedicated to optimizing the InSAR pair selection. The proposed algorithm narrows the classical selection based on the shortest temporal and spatial baselines thanks to a coherence proxy and balances the use of each image as Primary and Secondary images thanks to graph theory methods. We apply the processing to three volcanic areas characterized with different climate, vegetation, and deformation characteristics: the Virunga Volcanic Province (DR Congo), the Reunion Island (France), and the Domuyo and Laguna del Maule area (Chile-Argentina border). Compared to pair selection based solely on baseline criteria, this new tool produces similar velocity maps while reducing the total number of computed differential InSAR interferograms by up to 75%, which drastically reduces the computation time. The optimization also allows to reduce the influence of DEM errors and atmospheric phase screen, which increase the signal-to-noise ratio of the inverted displacement time series.Fil: Smittarello, D.. European Centre Of Geodynamics And Seismology; BélgicaFil: d'Oreye, N.. European Centre Of Geodynamics And Seismology; Bélgica. National Museum of Natural History; LuxemburgoFil: Jaspard, M.. European Centre Of Geodynamics And Seismology; BélgicaFil: Derauw, Dominique Maurice. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. European Centre Of Geodynamics And Seismology; Bélgica. Centre Spatial de Liège; BélgicaFil: Samsonov, S.. Canada Centre For Mapping And Earth Observation; CanadáJohn Wiley & Sons2022-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/202306Smittarello, D.; d'Oreye, N.; Jaspard, M.; Derauw, Dominique Maurice; Samsonov, S.; Pair Selection Optimization for InSAR Time Series Processing; John Wiley & Sons; Journal of Geophysical Research: Solid Earth; 127; 3; 3-2022; 1-242169-93132169-9356CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1029/2021JB022825info:eu-repo/semantics/altIdentifier/doi/10.1029/2021JB022825info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:23Zoai:ri.conicet.gov.ar:11336/202306instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:10:23.646CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Pair Selection Optimization for InSAR Time Series Processing
title Pair Selection Optimization for InSAR Time Series Processing
spellingShingle Pair Selection Optimization for InSAR Time Series Processing
Smittarello, D.
GRAPH
GROUND DEFORMATION
INSAR TIME SERIES
MASTER
OPTIMIZATION
PAIR SELECTION
title_short Pair Selection Optimization for InSAR Time Series Processing
title_full Pair Selection Optimization for InSAR Time Series Processing
title_fullStr Pair Selection Optimization for InSAR Time Series Processing
title_full_unstemmed Pair Selection Optimization for InSAR Time Series Processing
title_sort Pair Selection Optimization for InSAR Time Series Processing
dc.creator.none.fl_str_mv Smittarello, D.
d'Oreye, N.
Jaspard, M.
Derauw, Dominique Maurice
Samsonov, S.
author Smittarello, D.
author_facet Smittarello, D.
d'Oreye, N.
Jaspard, M.
Derauw, Dominique Maurice
Samsonov, S.
author_role author
author2 d'Oreye, N.
Jaspard, M.
Derauw, Dominique Maurice
Samsonov, S.
author2_role author
author
author
author
dc.subject.none.fl_str_mv GRAPH
GROUND DEFORMATION
INSAR TIME SERIES
MASTER
OPTIMIZATION
PAIR SELECTION
topic GRAPH
GROUND DEFORMATION
INSAR TIME SERIES
MASTER
OPTIMIZATION
PAIR SELECTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The ever-increasing amount of Synthetic Aperture Radar (SAR) data motivates the development of automatic processing chains to fully exploit the opportunities offered by these large databases. The Synthetic Aperture Radar Interferometry (InSAR) Mass processing Toolbox for Multidimensional time series is an optimized tool to automatically download SAR data, select the interferometric pairs, perform the interferometric mass processing, compute the geocoded deformation maps, invert and display the velocity maps and the 2D time series on a web page updated incrementally as soon as a new image is available. New challenges relate to data management and processing load. We address them through methodological improvements dedicated to optimizing the InSAR pair selection. The proposed algorithm narrows the classical selection based on the shortest temporal and spatial baselines thanks to a coherence proxy and balances the use of each image as Primary and Secondary images thanks to graph theory methods. We apply the processing to three volcanic areas characterized with different climate, vegetation, and deformation characteristics: the Virunga Volcanic Province (DR Congo), the Reunion Island (France), and the Domuyo and Laguna del Maule area (Chile-Argentina border). Compared to pair selection based solely on baseline criteria, this new tool produces similar velocity maps while reducing the total number of computed differential InSAR interferograms by up to 75%, which drastically reduces the computation time. The optimization also allows to reduce the influence of DEM errors and atmospheric phase screen, which increase the signal-to-noise ratio of the inverted displacement time series.
Fil: Smittarello, D.. European Centre Of Geodynamics And Seismology; Bélgica
Fil: d'Oreye, N.. European Centre Of Geodynamics And Seismology; Bélgica. National Museum of Natural History; Luxemburgo
Fil: Jaspard, M.. European Centre Of Geodynamics And Seismology; Bélgica
Fil: Derauw, Dominique Maurice. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. European Centre Of Geodynamics And Seismology; Bélgica. Centre Spatial de Liège; Bélgica
Fil: Samsonov, S.. Canada Centre For Mapping And Earth Observation; Canadá
description The ever-increasing amount of Synthetic Aperture Radar (SAR) data motivates the development of automatic processing chains to fully exploit the opportunities offered by these large databases. The Synthetic Aperture Radar Interferometry (InSAR) Mass processing Toolbox for Multidimensional time series is an optimized tool to automatically download SAR data, select the interferometric pairs, perform the interferometric mass processing, compute the geocoded deformation maps, invert and display the velocity maps and the 2D time series on a web page updated incrementally as soon as a new image is available. New challenges relate to data management and processing load. We address them through methodological improvements dedicated to optimizing the InSAR pair selection. The proposed algorithm narrows the classical selection based on the shortest temporal and spatial baselines thanks to a coherence proxy and balances the use of each image as Primary and Secondary images thanks to graph theory methods. We apply the processing to three volcanic areas characterized with different climate, vegetation, and deformation characteristics: the Virunga Volcanic Province (DR Congo), the Reunion Island (France), and the Domuyo and Laguna del Maule area (Chile-Argentina border). Compared to pair selection based solely on baseline criteria, this new tool produces similar velocity maps while reducing the total number of computed differential InSAR interferograms by up to 75%, which drastically reduces the computation time. The optimization also allows to reduce the influence of DEM errors and atmospheric phase screen, which increase the signal-to-noise ratio of the inverted displacement time series.
publishDate 2022
dc.date.none.fl_str_mv 2022-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/202306
Smittarello, D.; d'Oreye, N.; Jaspard, M.; Derauw, Dominique Maurice; Samsonov, S.; Pair Selection Optimization for InSAR Time Series Processing; John Wiley & Sons; Journal of Geophysical Research: Solid Earth; 127; 3; 3-2022; 1-24
2169-9313
2169-9356
CONICET Digital
CONICET
url http://hdl.handle.net/11336/202306
identifier_str_mv Smittarello, D.; d'Oreye, N.; Jaspard, M.; Derauw, Dominique Maurice; Samsonov, S.; Pair Selection Optimization for InSAR Time Series Processing; John Wiley & Sons; Journal of Geophysical Research: Solid Earth; 127; 3; 3-2022; 1-24
2169-9313
2169-9356
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1029/2021JB022825
info:eu-repo/semantics/altIdentifier/doi/10.1029/2021JB022825
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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