Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18924
Title: Differential SAR interferometry using sentinel‐1 imagery‐limitations in monitoring fast moving landslides: The case study of Cyprus
Authors: Tzouvaras, Marios 
Danezis, Chris 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: DInSAR;Interferometry;Landslides;Slope deformation;Limitations;SAR;Copernicus
Issue Date: Jun-2020
Source: Geosciences, 2020, vol. 10, no. 6, articl. no. 236
Volume: 10
Issue: 6
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Geosciences 
Abstract: 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 a ected by the landslides, the residing meteorological conditions, the heavy rainfall that triggered the two landslides, and the temporal phase aliasing e ect 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.
Description: The authors would like to acknowledge the “CUT Open Access Author Fund” for covering the open access publication fees of the paper.
URI: https://ktisis.cut.ac.cy/handle/10488/18924
ISSN: 2076-3263
DOI: 10.3390/geosciences10060236
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
Type: Article
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

Files in This Item:
File Description SizeFormat
geosciences-10-00236-v4.pdfFulltext9.74 MBAdobe PDFView/Open
CORE Recommender
Show full item record

Page view(s)

36
Last Week
0
Last month
10
checked on Apr 19, 2021

Download(s)

13
checked on Apr 19, 2021

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons