3D Recording and Interpretation for Maritime Archaeology

McCarthy, J.; Benjamín, Jonathan; Winton, Trevor; Duivenvoorde, Wendy van

doi:10.1007/978-3-030-03635-5

Cited by 40 publications

(4 citation statements)

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“…It must be stressed that a similar approach was adopted previously in both natural-and historical-heritage-related settings: for example, the monitoring of erosion on cliffs and rock walls (Abellán et al 2011;Lim et al 2005;Obanawa and Hayakawa 2018) and at underwater archaeological (Ferentinos et al 2020;McCarthy et al 2019), and the structural pathologies suffered by certain archaeological and architectural features (Benavides López et al 2020;Lai et al 2019;Tapete et al 2013). Other works have similar aims, although they emphasise the theoretical and experimental dimensions (Daire et al 2012;López-Romero et al 2014) and use different tools and analytical approaches.…”

Section: Discussionmentioning

confidence: 99%

3D photogrammetry as a tool for studying erosive processes at a Roman coastal site: the case of the Roman fish-salting plant at Sobreira (Vigo, Spain)

Fernández

Abad

Nóvoa

2022

Archaeol Anthropol Sci

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Rising sea levels, along with other biological and human factors, have increased erosion rates at a number of important sites located along the Atlantic coastline. Project GaltFish implemented a series of contingency measures to record some of these sites before they degraded further or totally disappeared. This process involved detailed photogrammetric recording of some of the sites under threat over a set period of time. One of the sites selected for this project was Sobreira (Vigo, Galicia): a Roman fish-salting factory which was partially destroyed by building activity in the 1980s and the remains of which are under threat from marine erosion and human action. In order to study the site, two photogrammetric models were created to examine the effect of erosive processes across the course of one year. The results illustrate that photogrammetry is an efficient tool for recording and analysing the issue of erosion. The data compiled helped in designing additional action in the factory, which was subject to a rescue excavation to record and help protect the site from further damage. This paper presents the results of this project, as well as the methodology used to produce the models, the data generated and their analysis. It is argued that the methodology can be used to collect and analyse data from other sites, and that this data could inform the political/administrative decision-making processes which concern the future management and preservation of archaeological sites under threat.

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Section: Discussionmentioning

confidence: 99%

3D photogrammetry as a tool for studying erosive processes at a Roman coastal site: the case of the Roman fish-salting plant at Sobreira (Vigo, Spain)

Fernández

Abad

Nóvoa

2022

Archaeol Anthropol Sci

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“…In comparison with marine geophysical surveys, underwater photogrammetry is much more accessible and less expensive (McCarthy & Benjamin, 2014). Therefore, the method is very common in underwater archaeological prospection studies, allowing the mapping of entire sites (e.g., Galili et al, 2019;McCarthy et al, 2019;McCarthy & Benjamin, 2014).…”

Section: Summary Of the Main Findingsmentioning

confidence: 99%

“…A powerful method for documentation of cultural heritage sites has been recently employed using underwater photogrammetry (e.g., Pacheco-Ruiz et al, 2018). It should be noted that 3-D underwater photogrammetry is one of the most powerful ways to demonstrate hidden archaeological sites or palaeo-landscapes using virtual reality and dissemination for the general public (McCarthy et al, 2019).…”

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confidence: 99%

Exploration and reconstruction of a medieval harbour using hydroacoustics, 3‐D shallow seismic and underwater photogrammetry: A case study from Puck, southern Baltic Sea

Pydyn

Popek

Kubacka

et al. 2021

Archaeological Prospection

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Exploration of the marine environment using underwater remote-sensing methods is the most reasonable method for investigating submerged archaeological heritage sites, preserving their current condition and maintaining them for future generations. While non-invasive recognition of heritage sites is one of the main objectives of underwater archaeology, the nearshore environment of the small Polish town of Puck hides one of the biggest medieval harbours in the Baltic Sea. The following research objectives were met in this study: (a) exploration of underwater archaeological heritage harbour in Puck using high-resolution hydroacoustics, 3-D shallow seismics and underwater photogrammetry; (b) reconstruction of the submerged Puck medieval port by the combining of hydroacoustics, 3D shallow seismics, underwater photogrammetry and archival documentation; (c) estimation of the rate at which the bottom sediments containing the archaeological objects are being destroyed. The underwater archaeological site of Puck harbour was explored using multiple surveying methods, including multibeam echosounder, parametric sub-bottom profiler, underwater photogrammetry, aerial photography and comparison with archival documentation. Very highresolution bathymetry from a multibeam echosounder allowed seabed features suchas piles, stones and horizontal structural elements to be identified, along with other archaeological artefacts, boat wrecks and boat-building artefacts. The 3-D shallow seismic datasets allowed us to distinguish, for example, several outcropping structures, a previously unknown buried shipwreck, past excavation trenches, the harbour boundary and a palaeochannel of the Płutnica River. Fusing datasets from multiple sources in the geographic information system (GIS) environment allowed for a combined visualization of the heritage sites, providing a broad archaeological demonstration of the underwater structure. By comparing with archival documentation, we calculated that 43% of biogenic layers containing archaeological objects eroded over 26 years. Our results demonstrated that without any doubt, underwater remote-sensing methods are the most appropriate for exploration and investigation of underwater heritage sites while maintaining their original value.

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“…This work is intended to introduce a new methodology to the field of underwater archaeology that can be used in conjunction with existing methodologies. Maritime shipwrecks represent a major resource to understand the human past over thousands of years, but underwater archaeology is expensive, misappropriated, and hazardous [1][2][3][4]. Therefore, a methodology to automatically map all potential shipwrecks over a large geographic area accurately and rapidly can help archaeologists prioritize site selection and plan excavation [5].…”

Section: Introduction 1objective and Broader Importancementioning

confidence: 99%

Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar

et al. 2021

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The objective of this project is to create a new implementation of a deep learning model that uses digital elevation data to detect shipwrecks automatically and rapidly over a large geographic area. This work is intended to apply a new methodology to the field of underwater archaeology. Shipwrecks represent a major resource to understand maritime human activity over millennia, but underwater archaeology is expensive, misappropriated, and hazardous. An automated tool to rapidly detect and map shipwrecks can therefore be used to create more accurate maps of natural and archaeological features to aid management objectives, study patterns across the landscape, and find new features. Additionally, more comprehensive and accurate shipwreck maps can help to prioritize site selection and plan excavation. The model is based on open source topo-bathymetric data and shipwreck data for the United States available from NOAA. The model uses transfer learning to compensate for a relatively small sample size and addresses a recurring problem that associated work has had with false positives by training the model both on shipwrecks and background topography. Results of statistical analyses conducted—ANOVAs and box and whisker plots—indicate that there are substantial differences between the morphologic characteristics that define shipwrecks vs. background topography, supporting this approach to addressing false positives. The model uses a YOLOv3 architecture and produced an F1 score of 0.92 and a precision score of 0.90, indicating that the approach taken herein to address false positives was successful.

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3D Recording and Interpretation for Maritime Archaeology

Cited by 40 publications

References 0 publications

3D photogrammetry as a tool for studying erosive processes at a Roman coastal site: the case of the Roman fish-salting plant at Sobreira (Vigo, Spain)

3D photogrammetry as a tool for studying erosive processes at a Roman coastal site: the case of the Roman fish-salting plant at Sobreira (Vigo, Spain)

Exploration and reconstruction of a medieval harbour using hydroacoustics, 3‐D shallow seismic and underwater photogrammetry: A case study from Puck, southern Baltic Sea

Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar

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