Bathymetric LiDAR and Semi‐Automated Feature Extraction Assist Underwater Archaeological Surveys

Author:

Davis Dylan S.123ORCID,Cook Hale Jessica W.45ORCID,Hale Nathan L.6,Johnston Trevor Z.7,Sanger Matthew C.8

Affiliation:

1. Columbia Climate School Columbia University New York New York USA

2. Division of Biology & Paleoenvironment Lamont‐Doherty Earth Observatory Palisades New York USA

3. Columbia Center for Archaeology Columbia University New York New York USA

4. School of Archaeological and Forensic Sciences University of Bradford Bradford UK

5. Department of Geology University of Georgia Athens Georgia USA

6. Aucilla Research Institute Monticello Florida USA

7. Department of Anthropology Florida State University Tallahassee Florida USA

8. National Museum of Natural History Smithsonian Institution Washington DC USA

Abstract

ABSTRACTCritical data concerning key developments in global human history now lie submerged on continental shelves where investigations confront significant challenges. Whereas underwater excavations and surveys are expensive and weather dependent and require specialized training and equipment, remote sensing methods can improve chances for success offshore. A refinement in one method, a semi‐automated analysis protocol that can help to identify Pleistocene and Holocene era archaeological deposits in bathymetric LiDAR datasets, is presented here. This method employs contour mapping to identify potential archaeological features in shallow water environments in Apalachee Bay, Florida. This method successfully re‐identified multiple previously recorded archaeological sites in the study region and detected at least four previously undocumented archaeological sites. These results suggest that this procedure can expand on methods to identify and record submerged archaeological deposits in sediment‐starved, shallow‐water environments.

Funder

Directorate for Social, Behavioral and Economic Sciences

UK Research and Innovation

Publisher

Wiley

Reference129 articles.

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