Using Open-Data Portals, Remote Sensing and Computational Modelling to Investigate Historic Wreck Sites and Their Environments: 45 Years on from Muckelroy
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 cl...
| Autores principales: | ; ; ; ; ; |
|---|---|
| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Verificar disponibilidad: | HBZ Gateway |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Publicado: |
2025
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| En: |
The international journal of nautical archaeology
Año: 2025, Volumen: 54, Número: 1, Páginas: 87-104 |
| Otras palabras clave: | B
site formation processes
B proceso de formación de sitio B ambiente del sitio B āʾmkānīa ālḥfẓ B ḥṭām ālsfīna B pecio B Shipwreck B bīīʾa ālmūqʿ B potencial de preservación B preservation potential B site environment B bao hu qian li B yi zhi huan jing B ʿmlīāt tškīl ālmūqʿ B chen chuan B yi zhi xing cheng guo cheng |
| Acceso en línea: |
Volltext (kostenfrei) |
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| 520 | |a 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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