3D Recording Las Cuevas Project

Fabrizio Galeazzi, 2016

Data copyright © Dr Fabrizio Galeazzi unless otherwise stated

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Dr Fabrizio Galeazzi
Marie Curie Research Fellow
Department of Archaeology
University of York
King's Manor
Exhibition Square
York
YO1 7EP
England

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https://doi.org/10.5284/1036099
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Fabrizio Galeazzi (2016) 3D Recording Las Cuevas Project [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1036099

3D Recording Las Cuevas Project

Location World regionNorth and Central America
Non British Isles countryBelize
DistrictCayo
PlaceLas Cuevas
TGNWorld, North and Central America, Belize, Cayo [7005357]
Grid reference Latitude Longitude16.731389 -88.986389
Grid reference Latitude longitude
bounding box
16.7345232343
-88.987627029 -88.984451293
16.7318929542
Subject Event Type (England)PHOTOGRAMMETRIC SURVEY
Event Type (England)LASER SCANNING SURVEY
Library of Congress Subject HeadingsArchaeology
Library of Congress Subject HeadingsImage processing--Digital techniques
Monument Type (England)Cave Site
OtherMaya
OtherChiquibul Forest Reserve
Period Non-UKOther
Project dates Created From01-JAN-2015
Created To30-NOV-2015
First Released30-SEP-2016
Intervention Date To01-SEP-2012
Intervention Date From01-JUN-2011
Related information Associated Publication Towards the definition of best 3D practices in archaeology: Assessing 3D documentation techniques for intra-site data recording.
Associated Publication3D Documentation in Archaeology: Recording Las Cuevas Site, Chiquibul Reserve, Belize.
Associated Publication3D Laser Scanning in Cave Environment: the Case of Las Cuevas, Belize. Acquisition of the Cave System and Excavation Area.
Associated PublicationComparison of Laser Scanning and Dense Stereo Matching Techniques in Diverse Environmental Conditions and Light Exposure: the Case Study of Las Cuevas, Belize.
Associated PublicationDefining Best 3D Practices in Archaeology Comparing Laser Scanning and Dense Stereo Matching Techniques for 3D Intrasite Data Recording.
Data types available Image108 objects
31 objects

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