Using Open-Data Portals, Remote Sensing and Computational Modelling to Investigate Historic Wreck Sites and Their Environments: 45 Years on from Muckelroy

David Gregory; Mogens Dam; Jan Majcher; Henning Matthiesen; Gert Normann Andersen; Rory Quinn

doi:10.1080/10572414.2024.2320774

Using Open-Data Portals, Remote Sensing and Computational Modelling to Investigate Historic Wreck Sites and Their Environments: 45 Years on from Muckelroy

David Gregory
, Mogens Dam
, Jan Majcher
, Henning Matthiesen
, Gert Normann Andersen
, Rory Quinn

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

222 Downloads (Pure)

Abstract

We explored site formation processes at 549 shipwrecks in the North and Baltic Seas using multibeam echosounder (MBES) data and environmental/anthropogenic variables. Phase 1 classified the structural integrity of each wreck. Phase 2 used regression modelling to explore correlations between wreck class and environmental variables at individual sites. A best-fit model comprised depth, salinity, fishing intensity, and wreck year. In phase 3 multi-criteria analysis predicted preservation potential across the full model domain. Highest preservation potential is modelled for the southern Baltic Sea and Norwegian Trench, with low potential in shallower areas of the North Sea and off England, Netherlands and Germany.

Original language	English
Pages (from-to)	1-18
Number of pages	18
Journal	INTERNATIONAL JOURNAL OF NAUTICAL ARCHAEOLOGY
Early online date	18 Mar 2024
DOIs	https://doi.org/10.1080/10572414.2024.2320774
Publication status	Published online - 18 Mar 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Data Availability Statement

Access to the multibeam echosounder data was provided to the authors by Rasmus Normann Andersen, CEO of JD Contractors. The MBES data used within this paper were collected on numerous academic research trips, commercial surveys, and as data exchange with other archives/survey companies. Relevant regulations for collection of data were in line with national and international legislation of the waters where surveys were conducted. Exact positions of wrecks are not given due to issues of commercial interest and national security. Furthermore, data were collected adhering to the principles of the UNESCO convention in as much it was non-destructive and non-invasive and no shipwrecks were disturbed during these surveys. All imagery has been produced by the authors.

Funding

DG secured funding and with RQ formulated the ideas behind the research. MD collected and post processed multibeam echossounder data. DG, GN and JM classified the wrecks based on multibeam echosounder data. RQ and JM collated data from the open access data portals and generated the GIS. JM and HM conducted statistical analyses and produced images for the publication. All authors contributed to the writing and editing of the manuscript

Funders	Funder number
European Commission
FPK.2017-0037
European Research Council	101053993

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Shipwreck
site formation processes
site environment
preservation potential

Access to Document

10.1080/10572414.2024.2320774

Using Open-Data Portals Remote Sensing and Computational Modelling to Investigate Historic Wreck Sites and Their Environments 45 Years on from MuckeFinal published version, 3.42 MBLicence: CC BY-NC-ND

Cite this

Gregory, D., Dam, M., Majcher, J., Matthiesen, H., Andersen, G. N., & Quinn, R. (2024). Using Open-Data Portals, Remote Sensing and Computational Modelling to Investigate Historic Wreck Sites and Their Environments: 45 Years on from Muckelroy. INTERNATIONAL JOURNAL OF NAUTICAL ARCHAEOLOGY, 1-18. Advance online publication. https://doi.org/10.1080/10572414.2024.2320774

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abstract = "We explored site formation processes at 549 shipwrecks in the North and Baltic Seas using multibeam echosounder (MBES) data and environmental/anthropogenic variables. Phase 1 classified the structural integrity of each wreck. Phase 2 used regression modelling to explore correlations between wreck class and environmental variables at individual sites. A best-fit model comprised depth, salinity, fishing intensity, and wreck year. In phase 3 multi-criteria analysis predicted preservation potential across the full model domain. Highest preservation potential is modelled for the southern Baltic Sea and Norwegian Trench, with low potential in shallower areas of the North Sea and off England, Netherlands and Germany.",

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author = "David Gregory and Mogens Dam and Jan Majcher and Henning Matthiesen and Andersen, \{Gert Normann\} and Rory Quinn",

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ER -

Using Open-Data Portals, Remote Sensing and Computational Modelling to Investigate Historic Wreck Sites and Their Environments: 45 Years on from Muckelroy

Abstract

Bibliographical note

Data Availability Statement

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Investigating geomorphic and structural change at historic wreck sites using CFD and difference modelling

Cite this

Using Open-Data Portals, Remote Sensing and Computational Modelling to Investigate Historic Wreck Sites and Their Environments: 45 Years on from Muckelroy

Abstract

Bibliographical note

Data Availability Statement

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Student theses

Investigating geomorphic and structural change at historic wreck sites using CFD and difference modelling

Cite this