Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)

Multi-sensor advanced DInSAR analyses have been performed and compared with two GPS station measurements, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (> 10 cm yr−1) of Europe had been detect...

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Detalles Bibliográficos
Autores: Bonì, Roberta, Herrera García, Gerardo, Meisina, Claudia, Notti, Davide, Béjar Pizarro, Marta, Zucca, Francesco, González, Pablo J., Palano, Mimmo, Tomás, Roberto, Fernández Torres, José, Fernández Merodo, José Antonio, Mulas de la Peña, Joaquín, Aragón, Ramón, Guardiola Albert, Carolina, Mora, Óscar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/125484
Acceso en línea:http://hdl.handle.net/10261/125484
Access Level:acceso abierto
Palabra clave:DInSAR
Land subsidence recognition
Alto Guadalentín Basin
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spelling Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)Bonì, RobertaHerrera García, GerardoMeisina, ClaudiaNotti, DavideBéjar Pizarro, MartaZucca, FrancescoGonzález, Pablo J.Palano, MimmoTomás, RobertoFernández Torres, JoséFernández Merodo, José AntonioMulas de la Peña, JoaquínAragón, RamónGuardiola Albert, CarolinaMora, ÓscarDInSARLand subsidence recognitionAlto Guadalentín BasinMulti-sensor advanced DInSAR analyses have been performed and compared with two GPS station measurements, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (> 10 cm yr−1) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level).This work is financially supported by the DORIS project (Ground Deformation Risk Scenarios: an Advanced Assessment Service) funded by the EC-GMES-FP7 initiative (Grant Agreement 423 no. 242212). Part of this work is supported by the Spanish Government under project TEC2011-28201-C02-02 and TIN2014-55413-C2-2-P and by the project 15224/PI/10 from the Regional Agency of Science and Technology in Murcia. Additional funding was obtained from the Spanish Research Program through the projects AYA2010-17448, ESP2013-47780-C2-1-R and ESP2013-47780-C2-2-Rand by the Ministry of Education, Culture and Sport through the project PRX14/00100.Peer reviewedCopernicus PublicationsInternational Association of Hydrological SciencesMinisterio de Economía y Competitividad (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201520152015info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/125484reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#MINECO/ESP2013-47780-C2-1,2-Rhttp://dx.doi.org/10.5194/piahs-372-45-2015Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1254842026-05-22T06:33:51Z
dc.title.none.fl_str_mv Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
title Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
spellingShingle Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
Bonì, Roberta
DInSAR
Land subsidence recognition
Alto Guadalentín Basin
title_short Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
title_full Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
title_fullStr Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
title_full_unstemmed Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
title_sort Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)
dc.creator.none.fl_str_mv Bonì, Roberta
Herrera García, Gerardo
Meisina, Claudia
Notti, Davide
Béjar Pizarro, Marta
Zucca, Francesco
González, Pablo J.
Palano, Mimmo
Tomás, Roberto
Fernández Torres, José
Fernández Merodo, José Antonio
Mulas de la Peña, Joaquín
Aragón, Ramón
Guardiola Albert, Carolina
Mora, Óscar
author Bonì, Roberta
author_facet Bonì, Roberta
Herrera García, Gerardo
Meisina, Claudia
Notti, Davide
Béjar Pizarro, Marta
Zucca, Francesco
González, Pablo J.
Palano, Mimmo
Tomás, Roberto
Fernández Torres, José
Fernández Merodo, José Antonio
Mulas de la Peña, Joaquín
Aragón, Ramón
Guardiola Albert, Carolina
Mora, Óscar
author_role author
author2 Herrera García, Gerardo
Meisina, Claudia
Notti, Davide
Béjar Pizarro, Marta
Zucca, Francesco
González, Pablo J.
Palano, Mimmo
Tomás, Roberto
Fernández Torres, José
Fernández Merodo, José Antonio
Mulas de la Peña, Joaquín
Aragón, Ramón
Guardiola Albert, Carolina
Mora, Óscar
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv DInSAR
Land subsidence recognition
Alto Guadalentín Basin
topic DInSAR
Land subsidence recognition
Alto Guadalentín Basin
description Multi-sensor advanced DInSAR analyses have been performed and compared with two GPS station measurements, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (> 10 cm yr−1) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level).
publishDate 2015
dc.date.none.fl_str_mv 2015
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/125484
url http://hdl.handle.net/10261/125484
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
MINECO/ESP2013-47780-C2-1,2-R
http://dx.doi.org/10.5194/piahs-372-45-2015
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Copernicus Publications
International Association of Hydrological Sciences
publisher.none.fl_str_mv Copernicus Publications
International Association of Hydrological Sciences
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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