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
- Institución
- Universidad Nacional de Río Negro
- OAI Identificador
- oai:rid.unrn.edu.ar:20.500.12049/7383
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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 |
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language |
spa |
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https://www.sciencedirect.com/journal/journal-of-south-american-earth-sciences 104 Journal of South American Earth Sciences |
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