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Optical remote sensing potentials for looting detection

Journal
Geosciences
Date Issued
December 2017
Author(s)
Agapiou, Athos  
Lysandrou, Vasiliki  
Hadjimitsis, Diofantos G.  
DOI
10.3390/geosciences7040098
Abstract
Looting of archaeological sites is illegal and considered a major anthropogenic threat for cultural heritage, entailing undesirable and irreversible damage at several levels, such as landscape disturbance, heritage destruction, and adverse social impact. In recent years, the employment of remote sensing technologies using ground-based and/or space-based sensors has assisted in dealing with this issue. Novel remote sensing techniques have tackled heritage destruction occurring in war-conflicted areas, as well as illicit archeological activity in vast areas of archaeological interest with limited surveillance. The damage performed by illegal activities, as well as the scarcity of reliable information are some of the major concerns that local stakeholders are facing today. This study discusses the potential use of remote sensing technologies based on the results obtained for the archaeological landscape of Ayios Mnason in Politiko village, located in Nicosia district, Cyprus. In this area, more than ten looted tombs have been recorded in the last decade, indicating small-scale, but still systematic, looting. The image analysis, including vegetation indices, fusion, automatic extraction after object-oriented classification, etc., was based on high-resolution WorldView-2 multispectral satellite imagery and RGB high-resolution aerial orthorectified images. Google Earth© observe the site. The current research also discusses the potential for wider application of the presented methodology, acting as an early warning system, in an effort to establish a systematic monitoring tool for archaeological areas in Cyprus facing similar threats.
Funding(s)
ATHENA. Remote Sensing Science Center for Cultural Heritage  
Subjects

Cyprus

Image analysis

Looting

Remote sensing archae...

Satellite data

File(s)
Thumbnail Image
Name

geosciences-07-00098-v2.pdf

Size

15.36 MB

Format

Adobe PDF

Checksum (MD5)

fe481400b4e70731bc18c98626dabfdf

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