Semi-Automated Detection Of Looting In Afghanistan Using Multispectral Imagery And Principal Component Analysis

Keywords

Afghanistan; heritage preservation; looting; multispectral imagery; principal component analysis; satellite imagery

Abstract

High-resolution satellite imagery has proved to be a powerful tool for calculating the extent of looting at heritage sites in conflict zones around the world. Monitoring damage over time, however, has been largely dependent upon laborious and error-prone manual comparisons of satellite imagery taken at different dates. The semi-automated detection process presented here offers a more expedient and accurate method for monitoring looting activities over time, as evidenced at the site of Ai Khanoum in Afghanistan. It is hoped that this method, which relies upon multispectral imagery and principal component analysis, may be adapted to great effect for use in other areas where heritage loss is of significant concern.

Publication Date

10-1-2017

Publication Title

Antiquity

Volume

91

Issue

359

Number of Pages

1344-1355

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.15184/aqy.2017.90

Socpus ID

85030674853 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85030674853

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