The Space-Borne SBAS-DInSAR Technique as a Supporting Tool for Sustainable Urban Policies: The Case of Istanbul Megacity, Turkey

Calò, Federica; Abdikan, Saygın; Görüm, Tolga; Pepe, Antonio; Kılıç, Havvanur; Şanlı, Füsun Balık

doi:10.3390/rs71215842

Cited by 30 publications

(16 citation statements)

References 68 publications

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“…Subsidence studies have greatly benefited from the application of both PS and SB DInSAR techniques which have been used for the analysis of the temporal evolution of surface deformations induced by natural and anthropogenic factors, from intense human activities in urban areas [23,24] to rock dissolution processes (i.e., karst subsidence) [25][26][27]. In particular, several works have focused on the application of such DInSAR techniques to the detection and monitoring of land subsidence induced by groundwater extraction in many regions of the world.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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“…Figure 13 shows the SBAS-DInSAR results achieved over Istanbul by processing 43 TerraSAR-X data (3 m × 3 m spatial resolution) collected during the 2010-2012 period. In particular, the produced spatially-dense deformation velocity map and time-series associated to points affected by land subsidence, have been reported, pointing out the relevance of DInSAR techniques as tools for supporting sustainable urban planning and management [122]. Appl the produced spatially-dense deformation velocity map and time-series associated to points affected by land subsidence, have been reported, pointing out the relevance of DInSAR techniques as tools for supporting sustainable urban planning and management [122].…”

Section: Multi-pass Insar Techniques For the Retrieval Of Surface Dismentioning

confidence: 93%

“…In particular, the produced spatially-dense deformation velocity map and time-series associated to points affected by land subsidence, have been reported, pointing out the relevance of DInSAR techniques as tools for supporting sustainable urban planning and management [122]. Appl the produced spatially-dense deformation velocity map and time-series associated to points affected by land subsidence, have been reported, pointing out the relevance of DInSAR techniques as tools for supporting sustainable urban planning and management [122]. Figure 14a-c show the LOS mean deformation velocity maps obtained by processing COSMOSkyMed, ALOS and ERS/ENVISAT data, respectively, for the north-eastern flank of Mt.…”

Section: Multi-pass Insar Techniques For the Retrieval Of Surface Dismentioning

confidence: 99%

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

2017

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Synthetic Aperture RADAR Interferometry (InSAR) provides a unique tool for the quantitative measurement of the Earth's surface deformations induced by a variety of natural (such as volcanic eruptions, landslides and earthquakes) and anthropogenic (e.g., ground-water extraction in highly-urbanized areas, deterioration of buildings and public facilities) processes. In this framework, use of InSAR technology makes it possible the long-term monitoring of surface deformations and the analysis of relevant geodynamic phenomena. This review paper provides readers with a general overview of the InSAR principles and the recent development of the advanced multi-track InSAR combination methodologies, which allow to discriminate the 3-D components of deformation processes and to follow their temporal evolution. The increasing availability of SAR data collected by complementary illumination angles and from different RADAR instruments, which operate in various bands of the microwave spectrum (X-, L-and C-band), makes the use of multi-track/multi-satellite InSAR techniques very promising for the characterization of deformation patterns. A few case studies will be presented, with a particular focus on the recently proposed multi-track InSAR method known as the Minimum Acceleration (MinA) combination approach. The presented results evidence the validity and the relevance of the investigated InSAR approaches for geospatial analyses.

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“…The SBAS (Small Baseline Subset) DInSAR technique was applied to 43 TerraSAR-X data, which revealed an average subsidence velocity of 3 cm/year, with most of the detected subsidence found to be occurring in the Quaternary layers [50].…”

Section: Relevant Literaturementioning

confidence: 99%

Detection of Land Subsidence in Kathmandu Valley, Nepal, Using DInSAR Technique

Bhattarai

Alifu

Maitiniyazi

et al. 2017

Land

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Differential Synthetic Aperture Radar Interferometry (DInSAR) is a remote sensing technique that is capable of detecting land surface deformation with centimeter accuracy. In this research, this technique was applied to two pairs of Advanced Land Observing Satellite (ALOS) Phased Array L-band SAR (PALSAR) data to detect land subsidence in the Kathmandu valley from 2007 to 2010. The result revealed several subsidence areas towards the center of the valley ranging from a maximum of 9.9 km 2 to a minimum of 1 km 2 coverage with a maximum velocity of 4.8 cm/year, and a minimum velocity of 1.1 cm/year, respectively. The majority of the subsidence was observed in old settlement areas with mixed use development. The subsidence depth was found to gradually increase from the periphery towards the center in almost all detected subsidence areas. The subsidence depth was found to be in a range of 1 cm to 17 cm. It was found that the concentration of deep water extraction wells was higher in areas with higher subsidence rates. It was also found that the detected subsidence area was situated over geological formations mainly consisting of unconsolidated fine-grained sediments (silica, sand, silt, clay and silty sandy gravel), which is the major factor affecting the occurrence of land subsidence due to groundwater extraction.

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The Space-Borne SBAS-DInSAR Technique as a Supporting Tool for Sustainable Urban Policies: The Case of Istanbul Megacity, Turkey

Cited by 30 publications

References 68 publications

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

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

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

Detection of Land Subsidence in Kathmandu Valley, Nepal, Using DInSAR Technique

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