This paper presents the preliminary results of a landscape archaeology project focusing on the territory of Sellano (PG), with particular emphasis on the integration of existing archaeological records and remote sensing data, especially LiDAR. The study area, situated between the Umbra Valley and the Nera Valley, remains relatively underexplored archaeologically and is characterised by considerable morphometric and morphological complexity. As such, it provides a suitable framework for a systematic assessment of long-term settlement dynamics from prehistory to the medieval period. The research began with the identification and mapping of known archaeological sites based on bibliographic and archival sources, alongside data from previous field surveys. In parallel, the examination of LiDAR datasets — currently only partially available for the area — enabled an evaluation of the detectability of recorded sites and the identification of topographic anomalies potentially indicative of previously undocumented archaeolog- ical features. On this basis, broad chronological phase maps were developed to outline general trends in patterns of territorial occupation. Particular attention is also given to the morphometric properties of settlements, with the aim of identifying recurring locational preferences and settlement patterns between prehistory and the Middle Ages. The study ultimately aims to assess the value of LiDAR not only as a tool for site detection, but also as an instrument for territorial analysis capable of integrating diverse datasets and offering new interpretative perspectives on the historical development of the Umbrian landscape.

LiDAR and landscape archaeology: a case-study from Sellano (PG) between prehistory and the Middle Ages / Albanesi, M., Picuti, M.R., Conte, A.. - (2026). (32nd EAA Annual Meeting - Resonant Pasts Atene, Grecia ).

LiDAR and landscape archaeology: a case-study from Sellano (PG) between prehistory and the Middle Ages

Maria romana Picuti
Secondo
;
Andrea Conte
Ultimo
2026

Abstract

This paper presents the preliminary results of a landscape archaeology project focusing on the territory of Sellano (PG), with particular emphasis on the integration of existing archaeological records and remote sensing data, especially LiDAR. The study area, situated between the Umbra Valley and the Nera Valley, remains relatively underexplored archaeologically and is characterised by considerable morphometric and morphological complexity. As such, it provides a suitable framework for a systematic assessment of long-term settlement dynamics from prehistory to the medieval period. The research began with the identification and mapping of known archaeological sites based on bibliographic and archival sources, alongside data from previous field surveys. In parallel, the examination of LiDAR datasets — currently only partially available for the area — enabled an evaluation of the detectability of recorded sites and the identification of topographic anomalies potentially indicative of previously undocumented archaeolog- ical features. On this basis, broad chronological phase maps were developed to outline general trends in patterns of territorial occupation. Particular attention is also given to the morphometric properties of settlements, with the aim of identifying recurring locational preferences and settlement patterns between prehistory and the Middle Ages. The study ultimately aims to assess the value of LiDAR not only as a tool for site detection, but also as an instrument for territorial analysis capable of integrating diverse datasets and offering new interpretative perspectives on the historical development of the Umbrian landscape.
2026
32nd EAA Annual Meeting - Resonant Pasts
04 Pubblicazione in atti di convegno::04d Abstract in atti di convegno
LiDAR and landscape archaeology: a case-study from Sellano (PG) between prehistory and the Middle Ages / Albanesi, M., Picuti, M.R., Conte, A.. - (2026). (32nd EAA Annual Meeting - Resonant Pasts Atene, Grecia ).
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1776675
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact