Space-Based Displacement Monitoring of Coastal Urban Areas: The Case of Limassol’s Coastal Front

Fotiou, Kyriaki; Kakoullis, Dimitris; Pekri, Marina; Melillos, George; Brcic, Ramon; Eineder, Michael; Hadjimitsis, Diofantos; Danezis, Chris

doi:10.3390/rs14040914

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…Records from permanent GNSS stations (i.e., horizontal and vertical velocities), together with period geodetic field surveys (e.g., with GPS, total stations, etc. ), could enhance our understanding of land deformations at the local scale, and, with the used of remote sensing techniques, further extrapolate findings at larger spatial scales [14], [15]. Substantial land displacements have been observed in Western Greece as a result of geophysical and environmental factors [3], [16].…”

Section: Introductionmentioning

confidence: 83%

Characterizing land deformations in Western Greece with satellite remote sensing observations and in situ ground monitoring

Fasoulis,

Triantafyllidis,

Hadjidoukas

et al. 2023

Earth Resources and Environmental Remote Sensing/Gis Applications XIV

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The area of Western Greece and the Peloponnese region show land deformations that can be triggered, for example, by seismic activity (e.g., Corinthian Gulf faults) and environmental factors (e.g., heavy rainfall). Land subsidence observed during the recent years within the Campus of the University of Patras in Northwestern Peloponnese confirms these spatiotemporal dynamics, with pronounced effects on the existing infrastructure and facilities. Here, we combined satellite remote sensing techniques and in situ geodetic monitoring to better understand these patterns and possible driving mechanisms. Regional-scale land deformations were quantified with active microwave remote sensing techniques (Persistent Scatterer Interferometric Synthetic Aperture Radar, PSInSAR) based on SAR data from the European Space Agency Sentinel-1 constellation of satellites. Land cover dynamics were characterized with high-resolution optical remote sensing observations (Normalized Difference Vegetation Index, NDVI; Planet Labs). The spatiotemporal Sentinel-1 SAR data were processed using the SNAP-StaMPS (SentiNel Application Platform - Stanford Method of Persistent Scatterer) integrated workflow for Persistent Scatterers Interferometry. The PSInSAR analysis resulted in regional-scale displacements of up to a few tens of mm per year. These displacements patterns were explored in tandem with possible land cover changes as detected with the NDVI spatiotemporal dynamics and further refined at the local scale with repeated field surveys during 2022 and 2023 at selected locations within the Campus of the University of Patras that were affected by land subsidence. The combination of remote sensing techniques, together with in situ ground monitoring, provides unique opportunities for monitoring ground deformation in almost real-time, facilitating thus the assessment of the response of infrastructures to such spatiotemporal changes.

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Section: Introductionmentioning

confidence: 83%

Characterizing land deformations in Western Greece with satellite remote sensing observations and in situ ground monitoring

Fasoulis,

Triantafyllidis,

Hadjidoukas

et al. 2023

Earth Resources and Environmental Remote Sensing/Gis Applications XIV

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“…Figure 5 was elaborated based on the review in [56]. Observing the graphics in Figure 5b, it is possible to conclude that the Sentinel-1 satellite has been the most used and that PSI was generally the technique chosen to monitor displacements in urban cities.…”

Section: Methodology 221 Insar Data and Processingmentioning

confidence: 99%

Using InSAR and GPR Techniques to Detect Subsidence: Application to the Coastal Area of “A Xunqueira” (NW Spain)

et al. 2023

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Climate change represents an important cause of subsidence, especially in coastal cities affected by changes in surface water level and water table. This paper presents a complementary study of Interferometric Synthetic Aperture Radar (InSAR) and Ground Penetrating Radar (GPR) for the early detection of subsidence and sinkhole phenomena. The methodology was applied to a coastal urban area in Galicia, northwest Spain (humid region), showing apparent signs of subsidence and building settlement during the last two years. Two different InSAR methods are compared for the period from June 2021 to March 2022: PSI (Persistent Scatterer Interferometry) and SBAS (Small Baseline Subsets), and the average deformation velocities obtained resulted in −3.0 mm/yr and −4.1 mm/yr, respectively. Additional GPR data were collected in January 2022 to validate the InSAR results, which detected subsidence in agreement with the persistent scatters obtained from the PSI method. This is crucial information to plan preventive maintenance.

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Rapid Landslide Mapping Using Multi-Temporal Image Composites from Sentinel-1 and Sentinel-2 Imagery Through Google Earth Engine

Prodromou,

Theocharidis,

Fotiou

et al. 2023

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

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Space-Based Displacement Monitoring of Coastal Urban Areas: The Case of Limassol’s Coastal Front

Cited by 3 publications

References 45 publications

Characterizing land deformations in Western Greece with satellite remote sensing observations and in situ ground monitoring

Characterizing land deformations in Western Greece with satellite remote sensing observations and in situ ground monitoring

Using InSAR and GPR Techniques to Detect Subsidence: Application to the Coastal Area of “A Xunqueira” (NW Spain)

Rapid Landslide Mapping Using Multi-Temporal Image Composites from Sentinel-1 and Sentinel-2 Imagery Through Google Earth Engine

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