Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for...

Autores
Derauw, Dominique Maurice; d’Oreye, Nicolas; Jaspard, Maxime; Caselli, Alberto Tomás; Samsonov, Sergey
Año de publicación
2020
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Derauw, Dominique Maurice. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Laboratorio de Estudio y Seguimiento de Volcanes Activos. Río Negro, Argentina.
Fil: Derauw, Dominique Maurice. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.
Fil: Derauw, Dominique Maurice. Centre Spatial de Li`ege (CSL). Angleur, Belgium
Fil: d’Oreye, Nicolas. National Museum of Natural History (NMNH). Walferdange, Luxembourg.
Fil: d’Oreye, Nicolas. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.
Fil: Jaspard, Maxime. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.
Fil: Caselli, Alberto Tomás. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Laboratorio de Estudio y Seguimiento de Volcanes Activos. Río Negro, Argentina.
Fil: Samsonov, Sergey. Canada Centre for Mapping and Earth Observation, Natural Resources Canada (NRCAN). Canada.
Synthetic Aperture Radar (SAR) Differential Interferometry (DInSAR) and its extensions to manage time series are nowadays well-known and mastered techniques to perform among others land-motion monitoring. We present here a fully automated monitoring service based on DInSAR and Multidimensional Small Baseline Subset (MSBAS) methods. The automated processing chain named “InSAR automated Mass processing Toolbox for multidimensional Time series” (MasTer) is demonstrated with the peculiar case of the Laguna del Maule and Domuyo volcanoes, which are known to undergo significant inflation up to several cm or tens of cm per year. The here-described monitoring service is made of three components: an InSAR command line processor, the MSBAS processor and a number of shell scripts automatizing all tasks, from data downloading to updated displacement maps and time series. Thanks to the European Commission Copernicus Service, data are freely available every 12 or 6 days along each orbit, depending on ESA acquisition plan. Linear deformation rate maps and time series of vertical and East-West ground deformation computed by the MasTer tool are updated every 1–6 days on a web page, according to the S1 data availability. Interested user can request additional time series at coherent pixels that wouldn’t be displayed on the web page and receive them by e-mail within a minute. Processing chain and preliminary observations at Domuyo and Laguna del Maule test site are presented and commented. The nearly 6 years long 2D time series of ground deformation allow highlighting recent changes in the well-known deformation at both volcanoes: Domuyo inflation stabilizes since beginning of 2019 while deformation at Laguna del Maule seems to gently accelerate since mid 2018. New deformation features are also identified, such as a 2 km wide 3 cm/yr circular subsidence at Laguna del Maule as well as a 2 cm/yr downward and 1 cm/yr eastward movement located to the East of Laguna Fea.
.
Materia
Ciencias Exactas y Naturales
InSAR Time Series
Domuyo
Laguna del Maule
MSBAS
Displacement Monitoring
Ciencias Exactas y Naturales
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
RID-UNRN (UNRN)
Institución
Universidad Nacional de Río Negro
OAI Identificador
oai:rid.unrn.edu.ar:20.500.12049/7383

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network_acronym_str RIDUNRN
repository_id_str 4369
network_name_str RID-UNRN (UNRN)
spelling Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020Derauw, Dominique Mauriced’Oreye, NicolasJaspard, MaximeCaselli, Alberto TomásSamsonov, SergeyCiencias Exactas y NaturalesInSAR Time SeriesDomuyoLaguna del MauleMSBASDisplacement MonitoringCiencias Exactas y NaturalesFil: Derauw, Dominique Maurice. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Laboratorio de Estudio y Seguimiento de Volcanes Activos. Río Negro, Argentina.Fil: Derauw, Dominique Maurice. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.Fil: Derauw, Dominique Maurice. Centre Spatial de Li`ege (CSL). Angleur, BelgiumFil: d’Oreye, Nicolas. National Museum of Natural History (NMNH). Walferdange, Luxembourg.Fil: d’Oreye, Nicolas. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.Fil: Jaspard, Maxime. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.Fil: Caselli, Alberto Tomás. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Laboratorio de Estudio y Seguimiento de Volcanes Activos. Río Negro, Argentina.Fil: Samsonov, Sergey. Canada Centre for Mapping and Earth Observation, Natural Resources Canada (NRCAN). Canada.Synthetic Aperture Radar (SAR) Differential Interferometry (DInSAR) and its extensions to manage time series are nowadays well-known and mastered techniques to perform among others land-motion monitoring. We present here a fully automated monitoring service based on DInSAR and Multidimensional Small Baseline Subset (MSBAS) methods. The automated processing chain named “InSAR automated Mass processing Toolbox for multidimensional Time series” (MasTer) is demonstrated with the peculiar case of the Laguna del Maule and Domuyo volcanoes, which are known to undergo significant inflation up to several cm or tens of cm per year. The here-described monitoring service is made of three components: an InSAR command line processor, the MSBAS processor and a number of shell scripts automatizing all tasks, from data downloading to updated displacement maps and time series. Thanks to the European Commission Copernicus Service, data are freely available every 12 or 6 days along each orbit, depending on ESA acquisition plan. Linear deformation rate maps and time series of vertical and East-West ground deformation computed by the MasTer tool are updated every 1–6 days on a web page, according to the S1 data availability. Interested user can request additional time series at coherent pixels that wouldn’t be displayed on the web page and receive them by e-mail within a minute. Processing chain and preliminary observations at Domuyo and Laguna del Maule test site are presented and commented. The nearly 6 years long 2D time series of ground deformation allow highlighting recent changes in the well-known deformation at both volcanoes: Domuyo inflation stabilizes since beginning of 2019 while deformation at Laguna del Maule seems to gently accelerate since mid 2018. New deformation features are also identified, such as a 2 km wide 3 cm/yr circular subsidence at Laguna del Maule as well as a 2 cm/yr downward and 1 cm/yr eastward movement located to the East of Laguna Fea..Elsevier2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfDerauw D., d’Oreye N, Jaspard M., Caselli A.T., Samsonov S., (2020) Ongoing automated ground deformation monitoring of Domuyo – Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020. Journal of South American Earth Sciences; 104; 102850.0895-9811https://www.sciencedirect.com/science/article/pii/S089598112030393X?via%3Dihubhttp://rid.unrn.edu.ar/handle/20.500.12049/7383https://doi.org/10.1016/j.jsames.2020.102850spahttps://www.sciencedirect.com/journal/journal-of-south-american-earth-sciences104Journal of South American Earth Sciencesinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-09-29T14:29:24Zoai:rid.unrn.edu.ar:20.500.12049/7383instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-09-29 14:29:24.553RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse
dc.title.none.fl_str_mv Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
title Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
spellingShingle Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
Derauw, Dominique Maurice
Ciencias Exactas y Naturales
InSAR Time Series
Domuyo
Laguna del Maule
MSBAS
Displacement Monitoring
Ciencias Exactas y Naturales
title_short Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
title_full Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
title_fullStr Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
title_full_unstemmed Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
title_sort Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020
dc.creator.none.fl_str_mv Derauw, Dominique Maurice
d’Oreye, Nicolas
Jaspard, Maxime
Caselli, Alberto Tomás
Samsonov, Sergey
author Derauw, Dominique Maurice
author_facet Derauw, Dominique Maurice
d’Oreye, Nicolas
Jaspard, Maxime
Caselli, Alberto Tomás
Samsonov, Sergey
author_role author
author2 d’Oreye, Nicolas
Jaspard, Maxime
Caselli, Alberto Tomás
Samsonov, Sergey
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Exactas y Naturales
InSAR Time Series
Domuyo
Laguna del Maule
MSBAS
Displacement Monitoring
Ciencias Exactas y Naturales
topic Ciencias Exactas y Naturales
InSAR Time Series
Domuyo
Laguna del Maule
MSBAS
Displacement Monitoring
Ciencias Exactas y Naturales
dc.description.none.fl_txt_mv Fil: Derauw, Dominique Maurice. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Laboratorio de Estudio y Seguimiento de Volcanes Activos. Río Negro, Argentina.
Fil: Derauw, Dominique Maurice. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.
Fil: Derauw, Dominique Maurice. Centre Spatial de Li`ege (CSL). Angleur, Belgium
Fil: d’Oreye, Nicolas. National Museum of Natural History (NMNH). Walferdange, Luxembourg.
Fil: d’Oreye, Nicolas. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.
Fil: Jaspard, Maxime. European Centre of Geodynamics and Seismology. Walferdange, Luxembourg.
Fil: Caselli, Alberto Tomás. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Laboratorio de Estudio y Seguimiento de Volcanes Activos. Río Negro, Argentina.
Fil: Samsonov, Sergey. Canada Centre for Mapping and Earth Observation, Natural Resources Canada (NRCAN). Canada.
Synthetic Aperture Radar (SAR) Differential Interferometry (DInSAR) and its extensions to manage time series are nowadays well-known and mastered techniques to perform among others land-motion monitoring. We present here a fully automated monitoring service based on DInSAR and Multidimensional Small Baseline Subset (MSBAS) methods. The automated processing chain named “InSAR automated Mass processing Toolbox for multidimensional Time series” (MasTer) is demonstrated with the peculiar case of the Laguna del Maule and Domuyo volcanoes, which are known to undergo significant inflation up to several cm or tens of cm per year. The here-described monitoring service is made of three components: an InSAR command line processor, the MSBAS processor and a number of shell scripts automatizing all tasks, from data downloading to updated displacement maps and time series. Thanks to the European Commission Copernicus Service, data are freely available every 12 or 6 days along each orbit, depending on ESA acquisition plan. Linear deformation rate maps and time series of vertical and East-West ground deformation computed by the MasTer tool are updated every 1–6 days on a web page, according to the S1 data availability. Interested user can request additional time series at coherent pixels that wouldn’t be displayed on the web page and receive them by e-mail within a minute. Processing chain and preliminary observations at Domuyo and Laguna del Maule test site are presented and commented. The nearly 6 years long 2D time series of ground deformation allow highlighting recent changes in the well-known deformation at both volcanoes: Domuyo inflation stabilizes since beginning of 2019 while deformation at Laguna del Maule seems to gently accelerate since mid 2018. New deformation features are also identified, such as a 2 km wide 3 cm/yr circular subsidence at Laguna del Maule as well as a 2 cm/yr downward and 1 cm/yr eastward movement located to the East of Laguna Fea.
.
description Fil: Derauw, Dominique Maurice. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Laboratorio de Estudio y Seguimiento de Volcanes Activos. Río Negro, Argentina.
publishDate 2020
dc.date.none.fl_str_mv 2020
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 Derauw D., d’Oreye N, Jaspard M., Caselli A.T., Samsonov S., (2020) Ongoing automated ground deformation monitoring of Domuyo – Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020. Journal of South American Earth Sciences; 104; 102850.
0895-9811
https://www.sciencedirect.com/science/article/pii/S089598112030393X?via%3Dihub
http://rid.unrn.edu.ar/handle/20.500.12049/7383
https://doi.org/10.1016/j.jsames.2020.102850
identifier_str_mv Derauw D., d’Oreye N, Jaspard M., Caselli A.T., Samsonov S., (2020) Ongoing automated ground deformation monitoring of Domuyo – Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015–2020. Journal of South American Earth Sciences; 104; 102850.
0895-9811
url https://www.sciencedirect.com/science/article/pii/S089598112030393X?via%3Dihub
http://rid.unrn.edu.ar/handle/20.500.12049/7383
https://doi.org/10.1016/j.jsames.2020.102850
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://www.sciencedirect.com/journal/journal-of-south-american-earth-sciences
104
Journal of South American Earth Sciences
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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repository.name.fl_str_mv RID-UNRN (UNRN) - Universidad Nacional de Río Negro
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