Computational archeology platform

The Computational Archeology Laboratory is a facility created to support researchers interested in the development of computational applications for the study of the past: geospatial applications (remote sensing and GIS), geostatistics, 3D reconstruction and modeling, network analysis, simulation and artificial intelligence applications (machine learning, deep learning).

Institutional Contacts / Head of Facilities

AG

Arnau Garcia

Institut Català d’Arqueologia Clàssica (ICAC)

Provisional Contacts

Main Contact(s) of Facility

Staff

CERCA Institutes

Tarragona, Spain

2000

Institut Català d’Arqueologia Clàssica (ICAC)

Owners

Centres CERCA List

Address

Link

https://icac.cat/en/services/scientific-facilities/computational-archeology-lab/

Equipments & Services Offered

Equipments

Server adaptable a different types of computing operations and data processing (Supermicro 4U Dual AMD EPYC 32, 500GB RAM, 2 GPUs Nvidia A40 with 48GB each) Computers specialized in photogrammetry and GIS (with 64 GB RAM and GPUs Nvidia of 12 GB RAM each) A3 optical scanner for photogrammetry High resolution (sub-millimeter) automated metrological 3D scanner

Services

Members of this lab collaborate in the design and development of specific computer applications for research projects in archaeology.

Categorització

RIS3CAT domains & other

Domains

RIS3CAT Domains

CERCA GINYS Categories

CERCAGINYS code

GINYS-ICAC-006

Access procedure & Fares

Access procedure

Open

Availability

Papers

New developments in drone-based automated surface survey: Towards a functional and effective survey system

Orengo, H. A., Garcia-Molsosa, A., Berganzo-Besga, I., Landauer, J., Aliende, P., & Tres-Martínez, S.

CERCA GINYS Papers

Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data

Orengo, H. A., Conesa, F. C., Garcia-Molsosa, A., Lobo, A., Green, A. S., Madella, M., & Petrie, C. A.

CERCA GINYS Papers

Potential of deep learning segmentation for the extraction of archaeological features from historical map series

Garcia-Molsosa, A., Orengo, H. A., Lawrence, D., Philip, G., Hopper, K., & Petrie, C. A.

CERCA GINYS Papers

Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm Detects Near 10k Archaeological Tumuli in North-Western Iberia

Berganzo-Besga, I., Orengo, H. A., Lumbreras, F., Carrero-Pazos, M., Fonte, J., & Vilas-Estévez, B.

CERCA GINYS Papers

Institutional Quality

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CERCA GINYS Quality