Tackling the Thorny Dilemma of Mapping Southeastern Sicily's Coastal Archaeology Beneath Dense Mediterranean Vegetation: A Drone‐Based LiDAR Approach.

Airborne laser scanning (ALS), commonly known as Light Detection and Ranging (LiDAR), is a remote sensing technique that enables transformative archaeological research by providing high‐density 3D representations of landscapes and sites covered by vegetation whose analysis reveals hidden features an...

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Publicado en:Archaeological Prospection Vol. 32; no. 1; pp. 139 - 159
Autores principales: Calderone, Dario, Lercari, Nicola, Tanasi, Davide, Busch, Dennis, Hom, Ryan, Lanteri, Rosa
Formato: Artículo
Publicado: Wiley-Blackwell Jan-Mar2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan-Mar2025
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        10.1002/arp.1956
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        atl: Tackling the Thorny Dilemma of Mapping Southeastern Sicily's Coastal Archaeology Beneath Dense Mediterranean Vegetation: A Drone‐Based LiDAR Approach.
      aug:
        au:
          Calderone, Dario
          Lercari, Nicola
          Tanasi, Davide
          Busch, Dennis
          Hom, Ryan
          Lanteri, Rosa
        affil:
          LMU Munich, Institute for Digital Cultural Heritage Studies, Munich, Germany
          Institute for Digital Exploration, University of South Florida, Tampa Florida,, USA
          Division of the Italian Public Administration, Parco Archeologico e Paesaggistico di Siracusa, Eloro, Villa del Tellaro e Akrai, Syracuse, Italy
      su:
        Optical radar
        LIDAR
        Optical scanners
        Coastal archaeology
        Airborne lasers
        Landscape archaeology
      sug:
        subj:
          Optical radar
          LIDAR
          Optical scanners
          Coastal archaeology
          Airborne lasers
          Landscape archaeology
      keyword:
        airborne laser scanning
        drone‐based LiDAR
        Greek colonization of Sicily
        Heloros
        landscape archaeology
        Mediterranean environment
      ab: Airborne laser scanning (ALS), commonly known as Light Detection and Ranging (LiDAR), is a remote sensing technique that enables transformative archaeological research by providing high‐density 3D representations of landscapes and sites covered by vegetation whose analysis reveals hidden features and structures. ALS can detect targets under trees and grasslands, making it an ideal archaeological survey and mapping tool. ALS instruments are usually mounted on piloted aircraft. However, since the mid‐2010s, smaller laser scanners can be mounted on uncrewed aerial vehicles or drones. In this article, we examined the viability of drone‐based ALS for archaeological applications by utilizing a RIEGL VUX‐UAV22 sensor to capture point clouds with high spatial resolution at the archaeological site of Heloros in Southeastern Sicily, founded by the Greeks in the late eighth century bce. Using this laser scanner, we surveyed over 1.6 km2 of the archaeological landscape, producing datasets that outperformed noncommercial airborne ALS data for the region made available by the Italian government. We produced derivative imagery free of vegetation, which we visualized in GIS using a modified Local Relief Model technique to aid our archaeological analyses. Our findings demonstrate that drone‐based ALS can penetrate the dense Mediterranean canopy of coastal Sicily with sufficient point density to enable more efficient mapping of underlying archaeological features such as stone quarries, cart tracks, defensive towers and fortification walls. Our study proved that drone‐based ALS sensors can be easily transported to remote locations and that in‐house lab staff can safely operate them, which enables multiple on‐demand surveys and opportunistic collections to be conducted on the fly when environmental conditions are ideal. We conclude that these capabilities further increase the benefits of utilizing ALS for surveying the archaeological landscape under the Mediterranean canopy.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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          year: 2025
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