Integration of Multi-Source Datasets for Assessing Ground Swelling/Shrinking Risk in Cyprus: The Case Studies of Pyrgos–Parekklisia and Moni
Journal
Remote Sensing
Date Issued
August 28, 2024
Author(s)
Argyriou, Athanasios
Theocharides, Christos
Fotiou, Kyriaki
Alatza, Stavroula
Loupasakis, Constantinos
Kontoes, Charalampos
Hadjimitsis, Diofantos G.
Tzouvaras, Marios
Abstract
The determination of swelling/shrinking phenomena, from natural and anthropogenic
activity, is examined in this study through the synergy of various remote sensing methodologies.
For the period of 2016–2022, a time-series InSAR analysis of Sentinel-1 satellite images, with a
Coherent Change Detection procedure, was conducted to calculate the Normalized Coherence
Difference. These were combined with Sentinel-2 multispectral data by exploiting the Normalized
Difference Vegetation Index to create multi-temporal image composites. In addition, ALOS-Palsar
DEMderivatives highlighted the geomorphological characteristics, which, in conjunction with the
satellite imagery outcomes and other auxiliary spatial datasets, were embedded within a Multi
Criteria Decision Analysis (MCDA) model. The synergy of the remote sensing and GIS techniques’
applicability within the MCDA model highlighted the zones undergoing seasonal swelling/shrinking
processes in Pyrgos–Parekklisia and Moni regions in Cyprus. The accuracy assessment of the
produced final MCDA outcome provided an overall accuracy of 72.4%, with the Kappa statistic,being 0.66, indicating substantial agreement of the MCDA outcome with the results from a Persistent
Scatterer Interferometry analysis and ground-truth observations.Thus, this study offers decision
makers a powerful procedure to monitor longer- and shorter-term swelling/shrinking phenomena.
activity, is examined in this study through the synergy of various remote sensing methodologies.
For the period of 2016–2022, a time-series InSAR analysis of Sentinel-1 satellite images, with a
Coherent Change Detection procedure, was conducted to calculate the Normalized Coherence
Difference. These were combined with Sentinel-2 multispectral data by exploiting the Normalized
Difference Vegetation Index to create multi-temporal image composites. In addition, ALOS-Palsar
DEMderivatives highlighted the geomorphological characteristics, which, in conjunction with the
satellite imagery outcomes and other auxiliary spatial datasets, were embedded within a Multi
Criteria Decision Analysis (MCDA) model. The synergy of the remote sensing and GIS techniques’
applicability within the MCDA model highlighted the zones undergoing seasonal swelling/shrinking
processes in Pyrgos–Parekklisia and Moni regions in Cyprus. The accuracy assessment of the
produced final MCDA outcome provided an overall accuracy of 72.4%, with the Kappa statistic,being 0.66, indicating substantial agreement of the MCDA outcome with the results from a Persistent
Scatterer Interferometry analysis and ground-truth observations.Thus, this study offers decision
makers a powerful procedure to monitor longer- and shorter-term swelling/shrinking phenomena.
Affiliation
Funding
The authors acknowledge the ‘EXCELSIOR’: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment H2020 Widespread Teaming project (www.excelsior2020.eu (accessed on 17 July 2024)). The ‘EXCELSIOR’ project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 857510, by the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development, and by the Cyprus University of Technology. The authors would also like to thank the Geological Survey Department for their collaboration and provision of the data used in this study.
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