A multi-source data approach for the investigation of land subsidence in the Konya basin, Turkey

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dc.contributor.authorCalò, Fabiana
dc.contributor.authorNotti, Davide
dc.contributor.authorGalve, Jorge Pedro
dc.contributor.authorAbdikan, Saygın
dc.contributor.authorGörüm, Tolga
dc.contributor.authorOrhan, Osman
dc.contributor.authorMakineci, Hasan Bilgehan
dc.contributor.authorPepe, Antonio
dc.contributor.authorYakar, Murat
dc.contributor.authorŞanlı, Fusun Balık
dc.date.accessioned2020-03-26T20:11:43Z
dc.date.available2020-03-26T20:11:43Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesi, Mühendislik Fakültesi, Harita Mühendisliği Bölümü en_US
dc.description2018 Geoinformation for Disaster Management Conference, Gi4DM 2018 -- 18 March 2018 through 21 March 2018 -- 135177en_US
dc.description.abstractGroundwater depletion caused by rapid population growth, global climate change, water resources overexploitation is a major concern in many regions of the world. Consequences are not limited to a non-renewable water loss but extend to environmental degradation and geo-hazards risk increase. In areas where excessive groundwater withdrawal occurs, land subsidence induced by aquifer compaction is observed, resulting in severe socio-economic damage for the affected communities. In this work, we apply a multi-source data approach to investigate the fragile environment of Konya plain, central Turkey. The area, which is under strong anthropogenic pressures and faces with serious water-related problems, is widely affected by land subsidence. In order to analyze the spatial and temporal pattern of the subsidence process we use the Small BAseline Subset DInSAR technique to process two datasets of ENVISAT SAR images spanning the 2002-2010 period and to produce ground deformation maps and associated time-series. Results, complemented with meteorological, stratigraphic and piezometric data as well as with land-cover information, allow us to obtain a comprehensive picture of the climatic, hydrogeological and human dynamics of the study area. © Authors 2018. CC BY 4.0 License.en_US
dc.description.sponsorshipEuropean Regional Development Funden_US
dc.description.sponsorshipThe work was financed by the project Space Advanced Project Excellence in Research and Enterprise (SAPERE) within the Italian Program “Sviluppo e Potenziamento dei Cluster tecnologici Nazionali”. The activities were carried out through the Infrastructure of High Technology for Environmental and Climate Monitoring-PONa3_00363 project of Structural Improvement financed under the National Operational Programme for “Research and Competitiveness 2007–2013,” supported with the European Regional Development Fund and National Resources. ENVISAT ASAR data were provided by European Space Agency (ESA) in the framework of the CAT-1 ESA No. 10050 project.en_US
dc.identifier.doi10.5194/isprs-archives-XLII-3-W4-129-2018en_US
dc.identifier.endpage135en_US
dc.identifier.issn1682-1750en_US
dc.identifier.issue3W4en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage129en_US
dc.identifier.urihttps://dx.doi.org/10.5194/isprs-archives-XLII-3-W4-129-2018
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37164
dc.identifier.volume42en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorMakineci, Hasan Bilgehan
dc.language.isoenen_US
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDifferential SAR interferometry (DInSAR)en_US
dc.subjectGraceen_US
dc.subjectGroundwateren_US
dc.subjectRemote sensingen_US
dc.subjectSinkholesen_US
dc.subjectSmall baseline subset (SBAS)en_US
dc.subjectSubsidenceen_US
dc.subjectTurkeyen_US
dc.titleA multi-source data approach for the investigation of land subsidence in the Konya basin, Turkeyen_US
dc.typeConference Objecten_US

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