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Remote Sens. 2017, 9(1), 83; doi:10.3390/rs9010083

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

1
National Research Council (CNR) of Italy—Institute for the Electromagnetic Sensing of the Environment (IREA), via Diocleziano 328, 80124 Napoli, Italy
2
Department of Geodynamics, University of Granada, 18071 Granada, Spain
3
Department of Geomatics Engineering, Engineering Faculty, Bulent Ecevit University, 67100 Zonguldak, Turkey
4
Geography Department, Istanbul University, Ordu Cad. No. 6, 34459 Laleli, Istanbul, Turkey
5
Department of Geomatic Engineering, Civil Engineering Faculty, Yildiz Technical University, 34220 Esenler, Istanbul, Turkey
*
Author to whom correspondence should be addressed.
Academic Editors: Zhenhong Li, Roberto Tomas, Richard Gloaguen and Prasad S. Thenkabail
Received: 30 June 2016 / Revised: 5 January 2017 / Accepted: 10 January 2017 / Published: 17 January 2017
(This article belongs to the Special Issue Earth Observations for Geohazards)
View Full-Text   |   Download PDF [33574 KB, uploaded 17 January 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. View Full-Text
Keywords: remote sensing; Differential SAR Interferometry (DInSAR); Small BAseline Subset (SBAS); GRACE; subsidence; sinkholes; groundwater; climate change; Turkey remote sensing; Differential SAR Interferometry (DInSAR); Small BAseline Subset (SBAS); GRACE; subsidence; sinkholes; groundwater; climate change; Turkey
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Caló, F.; Notti, D.; Galve, J.P.; Abdikan, S.; Görüm, T.; Pepe, A.; Balik Şanli, F. DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey. Remote Sens. 2017, 9, 83.

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