Digital Deforestation: Comparing Automated Approaches to the Production of Digital Terrain Models (DTMs) in Agisoft Metashape
Matthew D. Howland,
Anthony Tamberino,
Ioannis Liritzis,
Thomas E. Levy
Affiliations
Matthew D. Howland
Jacob M. Alkow Department of Archaeology and Ancient Near Eastern Cultures, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel
Anthony Tamberino
Scripps Center for Marine Archaeology, Department of Anthropology, University of California San Diego, La Jolla, CA 92092, USA
Ioannis Liritzis
Key Research Institute of Yellow River Civilization and Sustainable Development, College of Environment and Planning, University of Henan, Kaifeng 475001, China
Thomas E. Levy
Scripps Center for Marine Archaeology, Department of Anthropology, University of California San Diego, La Jolla, CA 92092, USA
This paper tests the suitability of automated point cloud classification tools provided by the popular image-based modeling (IBM) software package Agisoft Metashape for the generation of digital terrain models (DTMs) at moderately-vegetated archaeological sites. DTMs are often required for various forms of archaeological mapping and analysis. The suite of tools provided by Agisoft are relatively user-friendly as compared to many point cloud classification algorithms and do not require the use of additional software. Based on a case study from the Mycenaean site of Kastrouli, Greece, the mostly-automated, geometric classification tool “Classify Ground Points” provides the best results and produces a quality DTM that is sufficient for mapping and analysis. Each of the methods tested in this paper can likely be improved through manual editing of point cloud classification.
