id
	13588
Url
	https://chloe.cnr.it/s/BiDiAr/item/13588
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Revealing the (un-)known in marginal landscapes. Multi-scalar LiDAR applications in the mountainous area of Monti Aurunci (Latium)
Creator
	https://chloe.cnr.it/s/BiDiAr/item/15099
	https://chloe.cnr.it/s/BiDiAr/item/15102
	https://chloe.cnr.it/s/BiDiAr/item/15101
	https://chloe.cnr.it/s/BiDiAr/item/15100
Date
	2025
Language
	eng
Abstract
	The Monti Aurunci Regional Park, located in southern Lazio, Italy, is renowned for its geological and naturalistic features as well as its archaeological significance. This area hosts a wealth of archaeological sites covering from pre-Roman and Roman periods to the modern era, many of which remain largely unexplored. These sites are currently being investigated as part of the Monti Aurunci Project (MAP, https://www.archeologiadiffusa.org/2022/09/17/ map/), an initiative led by the University for Foreigners of Siena. Among the notable sites in this region is the multi-layered and abandoned hillfort known as ‘Le Mura di Campello’. How- ever, dense forest cover significantly hinders the identification, interpretation, and mapping of archaeological remains in the area. Furthermore, the lack or low quality of existing datasets limits their usability for archaeological purposes. To address these challenges, a drone-based LiDAR survey was conducted in the winter of 2023, yielding high-resolution data that have proven invaluable for archaeological analysis. With an average point density of 142 points per square meter, the LiDAR data facilitated the identification of numerous archaeological features, enriching the understanding of the Monti Aurunci’s cultural heritage. Over 100 previously undocumented features were mapped, including terracing systems, hillforts, dwellings, walls, and road system. The results obtained have refined our understanding of the historical settlement dynamics in the Monti Aurunci area and opened the door to new methodological approaches, offering promising future research directions.
Is Part Of
	https://chloe.cnr.it/s/BiDiAr/item/2002
References
	https://chloe.cnr.it/s/BiDiAr/item/15117
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Doi
	https://doi.org/10.19282/ac.36.1.2025.06
Issue
	1
Pages
	109-128
Uri
	https://www.archcalc.cnr.it/journal/articles/1379
Volume
	36
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/GEG2JGQJ/item-list
Tag
	Remote Sensing

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