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Title: UNESCO World Heritage properties in changing and dynamic environments: change detection methods using optical and radar satellite data
Authors: Agapiou, Athos 
Major Field of Science: Engineering and Technology
Field Category: History and Archaeology
Keywords: UNESCO World Heritage
Issue Date: 1-Jun-2021
Source: Heritage Science, 2021 vol 9, no. 64
Volume: 9
Issue: 64
Project: NAVIGATOR: Copernicus Earth Observation Big Data for Cultural Heritage 
Related Dataset(s): UNESCO World Heritage properties in changing and dynamic environments: Change detection methods using optical and radar satellite data
Journal: Heritage Science 
Abstract: The article presents recent capabilities of active and passive earth observation sensors along with related processing image chains, for monitoring UNESCO World Heritage properties. Exceptional heritage sites and landscapes are found in dynamic environments, whereas both anthropogenic and natural changes are observed. The use of radar and optical satellite imageries can be used as a systematic observation tool for stakeholders, to map drastic or slowly driven landscape changes towards the better protection and management of these sites and their surrounding areas. The study presents the results from the analysis of the European Copernicus Sentinel-1 and Sentinel-2 satellite images over two broader areas in the Eastern Mediterranean basin that hold important UNESCO World Heritage properties. Initially, a recent strong earthquake of a 6.7 magnitude scale in the Aegean Sea is studied using radar Sentinel-1 images. These radar images were processed through the Hybrid Pluggable Processing Pipeline (HyP3) cloud platform for analyzing both significant changes of the VV (vertical transmit, vertical receive) and VH (vertical transmit, horizontal receive) backscattering signal as well as through an Interferometric Synthetic Aperture Radar (InSAR) analysis. Then, long-term changes in Cyprus during the last two decades are monitored by a Sentinel-2 image compared to the European Corine Land Use Land Cover data of 2000. These changes are mapped after a supervised classification process using the random forest (RF) classifier. The overall results demonstrate that the recent developments of the space sector in all its segments (resolution of the sensors, the capacity to storage in the cloud, processing advancements and open-access datasets and tools) can be beneficial for monitoring UNESCO World Heritage properties.
ISSN: 2050-7445
DOI: 10.1186/s40494-021-00542-z
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Appears in Collections:Άρθρα/Articles

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