id
	10704
Url
	https://chloe.cnr.it/s/BiDiAr/item/10704
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	GIS and remote sensing for post-dictive analysis of archaeological features. A case study from the Etnean region (Sicily)
Creator
	Gennaro, Andrea
	Candiano, Alessio
	Fargione, Gabriele
	Mussumeci, Giuseppe
	Mangiameli, Michele
Date
	2019
Language
	eng
Rights
	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0
Abstract
	This article illustrates the potential of multispectral satellite data for archaeological scope in the volcanic area of Mount Etna (Sicily, Italy). In particular, by adopting a post-dictive approach, GIS and FOSS technology was used to analyse different indices derived from World-View-2 multispectral data. The selected examples (two circular buildings and a wall-structure) illustrate successes and challenges of our method. The results indicate that NIR-1 and RED-EDGE are undoubtedly the most useful, while NDVI and SRI are the best performing indices.
Is Part Of
	https://chloe.cnr.it/s/BiDiAr/item/2002
Doi
	https://doi.org/10.19282/ac.30.2019.18
Pages
	309-328
Uri
	https://www.archcalc.cnr.it/journal/articles/1053
Volume
	30
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/4IGIZ9LS/item-list

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