Automated machine learning-based potsherd detection using high-resolution drone imagery

DOI

JavaScript code to be implemented in Google Earth Engine(c) for automated machine learning-based potsherd detection using high-resolution drone imagery.

This research presents the first proof of concept for the automated recording of material culture dispersion across large areas using high resolution drone imagery, photogrammetry and a combination of machine learning and geospatial analysis that can be run using the Google Earth Engine geospatial cloud computing platform.

Identifier
DOI https://doi.org/10.34810/data241
Related Identifier IsCitedBy https://doi.org/10.1016/j.jas.2019.105013
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data241
Provenance
Creator Orengo Romeu, Hèctor A. ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Orengo Romeu, Hèctor A.
Publication Year 2022
Funding Reference Spanish Ministry of Science, Innovation and Universities RYC-2016-19637 ; European Union’s Horizon 2020 746446
Rights Custom Dataset Terms; info:eu-repo/semantics/openAccess; https://dataverse.csuc.cat/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34810/data241
OpenAccess true
Contact Orengo Romeu, Hèctor A. (Institut Català d’Arqueologia Clàssica (ICAC))
Representation
Resource Type Dataset
Format text/plain; charset=US-ASCII
Size 7466; 7471
Version 1.0
Discipline Ancient Cultures; Archaeology; Humanities