4.1 Article

Differential SAR Interferometry Using Sentinel-1 Imagery-Limitations in Monitoring Fast Moving Landslides: The Case Study of Cyprus

期刊

GEOSCIENCES
卷 10, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/geosciences10060236

关键词

DInSAR; interferometry; landslides; slope deformation; limitations; SAR; Copernicus

资金

  1. Geological Survey Department of Cyprus
  2. project 'ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment-EXCELSIOR' from the European Union's Horizon 2020 research and innovation programme [857510]
  3. Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development
  4. 'EXCELSIOR' H2020 Widespread Teaming Phase 2 project
  5. CyCLOPS project [RPF/INFRASTRUCTURES/1216/0050]
  6. European Union Regional Fund
  7. Republic of Cyprus through the Research Promotion Foundation

向作者/读者索取更多资源

Cyprus, being located on the Mediterranean fault zone, exhibits a unique geodynamic regime since its tectonic evolution is driven by the interaction of the Eurasian and African plate. Besides its seismological interest, many active landslides and slope instabilities in areas of steep topography occur in Cyprus, having substantial impact on the built environment, by posing an imminent threat for entire settlements and critical infrastructure. Moreover, extreme meteorological events occur rarely, like severe rainfall and thunderstorms, that combined with the geological properties in some areas and the seismically stressed ground, can lead to landslides, causing severe damages to critical infrastructure. In the present study, the DInSAR methodology is applied for the detection of two individual landslide events that were triggered by heavy rainfall in Limassol and Paphos Districts in February 2019. Six co-event interferometric Synthetic Aperture Radar (SAR) pairs were used to produce displacement maps in vertical and east-west directions to study the resulting slope deformations. The above are carried out using Sentinel-1 imagery that are freely provided under the Copernicus umbrella. The limitations that arise from the speed and complexity of the deformations under study and the adverse residing meteorological conditions that caused these phenomena are investigated, as found in literature. Indeed, the sparse vegetation at the slopes affected by the landslides, the residing meteorological conditions, the heavy rainfall that triggered the two landslides, and the temporal phase aliasing effect due to the speed of the ground deformation were found to be the main limitations for the application of DInSAR methodology, resulting in the underestimation of the ground deformation that occurred.

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