http://www.cnr.it/ontology/cnr/individuo/prodotto/ID278874
Investigating archaeological looting using satellite images and GEORADAR: the experience in Lambayeque in North Peru (Articolo in rivista)
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- Investigating archaeological looting using satellite images and GEORADAR: the experience in Lambayeque in North Peru (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.jas.2013.10.032 (literal)
- Alternative label
Lasaponara R. (1), Leucci G. (2), Masini N. (3), Persico R. (2) (2014)
Investigating archaeological looting using satellite images and GEORADAR: the experience in Lambayeque in North Peru
in Journal of archaeological science; Elsevier Science London, London (Regno Unito)
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- Lasaponara R. (1), Leucci G. (2), Masini N. (3), Persico R. (2) (literal)
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- http://dx.doi.org/10.1016/j.jas.2013.10.032 (literal)
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- 1: CNR-IMAA, Tito
2: CNR-IBAM, Lecce, Italia
3: CNR-IBAM, Tito, Italia (literal)
- Titolo
- Investigating archaeological looting using satellite images and GEORADAR: the experience in Lambayeque in North Peru (literal)
- Abstract
- Illegal excavations represent one of the main risks which affect the archaeological heritage all over the world. They cause a massive loss of artefacts but also, and above all, a loss of the cultural context, which makes the subsequent interpretation of archaeological remains very difficult. Remote sensing offers a suitable chance to quantify and analyze this phenomenon, especially in those countries, from Southern America to Middle East, where the surveillance on site is not much effective and time consuming or non practicable due to military or political restrictions.
In this paper we focus on the use of Very High Resolution satel-lite imagery to quantitatively assess looting in Ventarron (Lam-bayeque, Peru) that is one of most important archaeological sites in Southern America. Multitemporal satellite images acquired for the study area have been processed by using both autocorrelation statis-tics and unsupervised classification to highlight and extract looting patterns. The mapping of areas affected by looting offered the op-portunity to investigate such areas not previously systematically documented. To this purpose georadar prospections were conducted in some looted test sites. (literal)
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