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

Caló, Fabiana, Notti, Davide, Galve, Jorge Pedro, Abdikan, Saygin, Görüm, Tolga, Pepe, Antonio, and Balik \cSanli, Füsun, 2017. DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey. Remote Sensing, 9(1):83, doi:10.3390/rs9010083.

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@ARTICLE{2017RemS....9...83C,
       author = {{Cal{\'o}}, Fabiana and {Notti}, Davide and {Galve}, Jorge Pedro and {Abdikan}, Saygin and {G{\"o}r{\"u}m}, Tolga and {Pepe}, Antonio and {Balik {\c{S}}anli}, F{\"u}sun},
        title = "{DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey}",
      journal = {Remote Sensing},
     keywords = {remote sensing, Differential SAR Interferometry (DInSAR), Small BAseline Subset (SBAS), GRACE, subsidence, sinkholes, groundwater, climate change, Turkey},
         year = 2017,
        month = jan,
       volume = {9},
       number = {1},
          eid = {83},
        pages = {83},
     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 km$^{2}$ 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.}",
          doi = {10.3390/rs9010083},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2017RemS....9...83C},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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