Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/19471
Title: Detecting Displacements Within Archaeological Sites in Cyprus After a 5.6 Magnitude Scale Earthquake Event Through the Hybrid Pluggable Processing Pipeline (HyP3) Cloud-Based System and Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) Analysis
Authors: Agapiou, Athos 
Lysandrou, Vasiliki 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Cultural heritage;Earthquakes;Hybrid Pluggable Processing Pipeline (HyP3);Interferometric SAR (InSAR);Deformation;Sentinel-1
Issue Date: 2020
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, vol. 13, pp. 6115-6123
Volume: 13
Start page: 6115
End page: 6123
Project: NAVIGATOR: Copernicus Earth Observation Big Data for Cultural Heritage 
ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 
Abstract: The distribution of free and open access radar satellite datasets, like those of Sentinel-1, has provided new opportunities for monitoring archaeological sites and monuments in a systematic way, and especially after earthquake events. While optical sensors are established in the scientific literature and radar sensors are lately introduced in the relevant literature, the role of satellite-driven ready products is still limited discussed. With the continuous improvement of remote sensing satellite data quality and accuracy, high-resolution data needs to be processed, while at the same time, this required high computational complexity. In respect to this, over the last years, various efforts have been made to support high-performance cloud-based processing, providing to the end-users ready products in a short time. This study presents the results from the exploitation of a relevant new cloud platform, namely the Hybrid Pluggable Processing Pipeline (HyP3) system that integrates GAMMA software, for detecting ground displacement within archaeological sites in Cyprus, after a 5.6 magnitude scale earthquake in 2015. Ascending and descending pairs of Sentinel-1 images, acquired before and after the event, were processed through the HyP3 platform, revealing small relative ground displacements in the area under study. The processing chain was performed in less than 1 h -per pair- on the HyP3 system, indicating that similar approaches could be beneficial in the future to support cultural heritage management of large areas.
URI: https://ktisis.cut.ac.cy/handle/10488/19471
ISSN: 2151-1535
DOI: 10.1109/JSTARS.2020.3028272
Rights: This work is licensed under a Creative Commons Attribution 4.0 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

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