Potential of Multitemporal Lidar for the Detection of Subtle Archaeological Features under Perennial Dense Forest

Iban Berganzo-Besga, Hector A. Orengo (), Joan Canela and Maria Carme Belarte
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Iban Berganzo-Besga: Landscape Archaeology Research Group (GIAP), Catalan Institute of Classical Archaeology (ICAC), Pl. Rovellat s/n, 43003 Tarragona, Spain
Hector A. Orengo: Landscape Archaeology Research Group (GIAP), Catalan Institute of Classical Archaeology (ICAC), Pl. Rovellat s/n, 43003 Tarragona, Spain
Joan Canela: Catalan Institute of Classical Archaeology (ICAC), Pl. Rovellat s/n, 43003 Tarragona, Spain
Maria Carme Belarte: Catalan Institution for Research and Advanced Studies (ICREA), Passeig Lluís Companys 23, 08010 Barcelona, Spain

Land, 2022, vol. 11, issue 11, 1-12

Abstract: This paper presents a method for the merging of lidar-derived point clouds of the same area taken at different moments, even when these are not co-registered. The workflow also incorporates the filtering of vegetation allowing the classification of unclassified point clouds using the ground points of reliable coverages. The objective is to produce a digital terrain model by joining all ground points to generate a higher resolution model than would have been possible using a single coverage. The workflow is supplemented by a multi-scale relief visualisation tool that allows for better detection of archaeological micro-reliefs of variable size even in areas of complex topography. The workflow is tested in six Iberian Iron Age sites, all of them located in mountain areas with dense Mediterranean perennial forests and shrub vegetation.

Keywords: remote sensing; lidar; archaeology; iron age; Iberian Peninsula; urbanism; Google Earth Engine (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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