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Sentinel-1 bathymetry for North Sea palaeolandscape analysisStewart, C., Renga, A., Gaffney, Vincent, Schiavon, G. 21 January 2016 (has links)
No / Submerged palaeolandscapes can contain pristine underwater heritage. Regular monitoring of these areas is essential to assess and mitigate threats from development including construction, mining, and commercial trawling. While bathymetry alone may be insufficient to detect submerged palaeolandscape features, it can nonetheless recognize previously mapped structures that have a topographic expression. The Sentinel-1 constellation will provide unprecedented access to freely available, high-resolution Synthetic Aperture Radar (SAR) data, acquired systematically and with long-term continuity, and may constitute a cost-effective solution for the monitoring of submerged palaeolandscapes. The article shows the application of a recently developed bathymetric algorithm to Sentinel-1 SAR data over a region of the southern North Sea. Results show general agreement with water depth data obtained from the European Marine Observation and Data Network portal for bathymetry (EMODnet). To assess the support that SAR bathymetry can provide to the analysis of submerged palaeolandscapes, the Sentinel-1-derived water depths were compared to a palaeolandscape map of the same area produced by the North Sea Palaeolandscapes Project (NSPP). Results show a clear correspondence between certain topographic structures identified in the Sentinel-1 water depth map and features interpreted by the NSPP as early Holocene lakes, rivers, and landscape topography.
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Considering the ‘Terra Incognita’ and the implications for the Cultural Resource Management of the Arabian Gulf PalaeolandscapeCuttler, R., Fitch, Simon, Al-Naimi, F.A. January 2011 (has links)
No / Over recent years a multitude of extensive marine
geophysical data sets have been gathered in the Arabian
Gulf, chiefly for the purposes of oil and gas exploration.
Although such geophysical surveys are primarily targeted
towards the mapping of deep subsurface rock formations,
the top section of the data can be processed specifically
to detail the currently unknown shallow palaeogeomorphology
of the Gulf, providing information that
would be impossible to collect within archaeological
budgets. Using such data to document palaeolandscapes
is just one element of a marine mapping programme
that can form the basis of a cohesive strategy for
managing the archaeological resource in marine areas.
Such strategies impact upon education, the accessibility
of heritage information to the public, and ultimately the
protection of this marine cultural landscape.
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Multi-Proxy Characterisation of the Storegga Tsunami and Its Impact on the Early Holocene Landscapes of the Southern North SeaGaffney, Vincent, Fitch, Simon, Bates, M., Ware, R.L., Kinnaird, T., Gearey, B., Hill, T., Telford, Richard, Batt, Catherine M., Stern, Ben, Whittaker, J., Davies, S., Ben Sharada, Mohammed, Everett, R., Cribdon, R., Kistler, L., Harris, Sam, Kearney, K., Walker, James, Muru, Merle, Hamilton, D., Law, M., Finlay, A., Bates, R., Allaby, R.G. 13 August 2020 (has links)
Yes / Doggerland was a landmass occupying an area currently covered by the North Sea until marine inundation took place during the mid-Holocene, ultimately separating the British landmass from the rest of Europe. The Storegga Event, which triggered a tsunami reflected in sediment deposits in the northern North Sea, northeast coastlines of the British Isles and across the North Atlantic, was a major event during this transgressive phase. The spatial extent of the Storegga tsunami however remains unconfirmed as, to date, no direct evidence for the event has been recovered from the southern North Sea. We present evidence of a tsunami deposit in the southern North Sea at the head of a palaeo-river system that has been identified using seismic survey. The evidence, based on lithostratigraphy, geochemical signatures, macro and microfossils and sedimentary ancient DNA (sedaDNA), supported by optical stimulated luminescence (OSL) and radiocarbon dating, suggests that these deposits were a result of the tsunami. Seismic identification of this stratum and analysis of adjacent cores showed diminished traces of the tsunami which was largely removed by subsequent erosional processes. Our results confirm previous modelling of the impact of the tsunami within this area of the southern North Sea, and also indicate that these effects were temporary, localized, and mitigated by the dense woodland and topography of the area. We conclude that clear physical remnants of the wave in these areas are likely to be restricted to now buried, palaeo-inland basins and incised river valley systems.
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Analysis and pattern mapping of organic interfaces by means of seismic geophysical technologies to investigate archaeological palaeolandscapes beneath the Southern North SeaFraser, Andrew I. January 2021 (has links)
Investigating the archaeology of submerged landscapes beneath many
metres of sea and buried under modern sands requires an understanding
of the terrestrial surface as it may have been prior to the inundation. To do
this, environmental evidence is required from contextualised in-situ
locations and the best material evidence for preservation of archaeology,
organic remains, dating proxies, pollen, diatoms, microfossils, coleoptera
etc. is peat.
This research supports the search for peat in submarine environments by
interpreting seismic surveys of the sub-sea floor and analysing reflective
signals for distinctive organic responses. By means of sedimental analysis
and ground observation, the research sets out to differentiate between
organic signals, to allow for the identification and location of shallow peat
beds within features of a palaeolandscape. Using these results should
provide an opportunity to target such peat beds in an archaeologically
focused coring programme.
The research also examines ways in which organic responses may be
mapped over larger areas in order to integrate the results into a wider
scale landscape model identifying potential peatland, marsh, valley fen
and lowland areas.
Finally, the research introduces an artificial intelligence neural networking
technology for the identification of organic interfaces in seismic surveys,
examining three different ways in which this could be accomplished using
specialist computer tools and software.
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