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dc.contributor.authorNavarro Hernández, María Inés
dc.contributor.authorTomás Jover, Roberto
dc.contributor.authorLópez Sánchez, Juan Manuel
dc.contributor.authorCárdenas Tristán, Abraham
dc.contributor.authorMallorquí Franquet, Jordi Joan
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2021-01-28T13:42:30Z
dc.date.available2021-01-28T13:42:30Z
dc.date.issued2020-11-21
dc.identifier.citationNavarro, M. [et al.]. Spatial analysis of land subsidence in the San Luis Potosi Valley induced by aquifer overexploitation using the coherent pixels technique (CPT) and Sentinel-1 InSAR observation. "Remote sensing", 21 Novembre 2020, vol. 12, núm. 22, article 3822, p. 1-23.
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/2117/336174
dc.description.abstractThe San Luis Potosi metropolitan area has suffered considerable damage from land subsidence over the past decades, which has become visible since 1990. This paper seeks to evaluate the effects of groundwater withdrawal on land subsidence in the San Luis Potosi Valley and the development of surface faults due to the differential compaction of sediments. For this purpose, we applied the Coherent Pixels Technique (CPT), a Persistent Scatterer Interferometry (PSI) technique, using 112 Sentinel-1 acquisitions from October 2014 to November 2019 to estimate the deformation rate. The results revealed that the deformation areas in the municipality of Soledad de Graciano Sánchez mostly exhibit subsidence values between -1.5 and -3.5 cm/year; whereas in San Luis Potosi these values are between -1.8 and -4.2 cm/year. The PSI results were validated by five Global Navigation Satellite System (GNSS) benchmarks available, providing a data correlation between the results obtained with both techniques of 0.986. This validation suggests that interferometric derived deformations agree well with results obtained from GNSS data. The strong relationship between trace fault, land subsidence,e and groundwater extraction suggests that groundwater withdrawal is resulting in subsidence induced faulting, which follows the pattern of structural faults buried by sediments.
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), the State Agency of Research (AEI) and European Funds for Regional Development (FEDER) under project TEMUSA (TEC2017-85244-C2-1-P and TEC2017-85244-C2-2-P) and by Mexican Council of Science and technology (CONACYT). This paper is also funded by the PRIMA programme supported by the European Union under grant agreement No 1924, project RESERVOIR. It also has been supported by the CommSensLab, which is Unidad de Excelencia Maria de Maeztu MDM-2016-0600 financed by the Agencia Estatal de Investigacion, Spain.
dc.format.extent23 p.
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshGlobal Positioning System
dc.subject.lcshAquifers
dc.subject.lcshInterferometry
dc.subject.otherLand subsidence
dc.subject.otherGroundwater withdrawal
dc.subject.otherCoherent pixel technique
dc.subject.otherInSAR
dc.subject.otherSentinel-1
dc.subject.otherMexico
dc.subject.otherSpatial analysis
dc.titleSpatial analysis of land subsidence in the San Luis Potosi Valley induced by aquifer overexploitation using the coherent pixels technique (CPT) and Sentinel-1 InSAR observation
dc.typeArticle
dc.subject.lemacAqüífers
dc.subject.lemacSistema de posicionament global
dc.subject.lemacInterferometria
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.3390/RS12223822
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/12/22/3822
dc.rights.accessOpen Access
local.identifier.drac30378932
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/TEC2017-85244-C2-2-P
local.citation.authorNavarro, M.; Tomás, R.; López , J.; Cárdenas, A.; Mallorqui, J.J.
local.citation.publicationNameRemote sensing
local.citation.volume12
local.citation.number22, article 3822
local.citation.startingPage1
local.citation.endingPage23


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