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DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey

Authors :
Saygin Abdikan
Davide Notti
Fabiana Calò
Fusun Balik Sanli
Tolga Gorum
Jorge Pedro Galve
Antonio Pepe
Zonguldak Bülent Ecevit Üniversitesi
Source :
Remote sensing (Basel) 9 (2017): 83–108. doi:10.3390/rs9010083, info:cnr-pdr/source/autori:Calo, Fabiana; Notti, Davide; Galve, Jorge Pedro; Abdikan, Saygin; Gorum, Tolga; Pepe, Antonio; Sanli, Fusun Balik/titolo:DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey/doi:10.3390%2Frs9010083/rivista:Remote sensing (Basel)/anno:2017/pagina_da:83/pagina_a:108/intervallo_pagine:83–108/volume:9, Remote Sensing, Vol 9, Iss 1, p 83 (2017), Remote Sensing; Volume 9; Issue 1; Pages: 83
Publication Year :
2017
Publisher :
Molecular Diversity Preservation International, Basel, 2017.

Abstract

In areas where groundwater overexploitation occurs, land subsidence triggered by aquifer compaction is observed, resulting in high socio-economic impacts for the affected communities. In this paper, we focus on the Konya region, one of the leading economic centers in the agricultural and industrial sectors in Turkey. We present a multi-source data approach aimed at investigating the complex and fragile environment of this area which is heavily affected by groundwater drawdown and ground subsidence. In particular, 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. The produced ground deformation maps and associated time-series allow us to detect a wide land subsidence extending for about 1200 km2 and measure vertical displacements reaching up to 10 cm in the observed time interval. DInSAR results, complemented with climatic, stratigraphic and piezometric data as well as with land-cover changes information, allow us to give more insights on the impact of climate changes and human activities on groundwater resources depletion and land subsidence. © 2017, by the authors; licensee MDPI, Basel, Switzerland.

Details

Language :
English
Database :
OpenAIRE
Journal :
Remote sensing (Basel) 9 (2017): 83–108. doi:10.3390/rs9010083, info:cnr-pdr/source/autori:Calo, Fabiana; Notti, Davide; Galve, Jorge Pedro; Abdikan, Saygin; Gorum, Tolga; Pepe, Antonio; Sanli, Fusun Balik/titolo:DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey/doi:10.3390%2Frs9010083/rivista:Remote sensing (Basel)/anno:2017/pagina_da:83/pagina_a:108/intervallo_pagine:83–108/volume:9, Remote Sensing, Vol 9, Iss 1, p 83 (2017), Remote Sensing; Volume 9; Issue 1; Pages: 83
Accession number :
edsair.doi.dedup.....e3e5ebd6b7dbc421a03b67eb5fa2d09a