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Project Code [2023-TgC-001]
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Project title
Bedrock mapping of the offshore Irish coastal and shelf regions through standard and semi-automated techniques
Primary Funding Agency
Geological Survey Ireland
Co-Funding Organisation(s)
Lead Organisation
University College Cork (UCC)
Lead Applicant
Not listed
Project Abstract
With a reinvigorated interest in offshore geology driven by the critical need for evidence-supported strategies for marine spatial planning - including offshore renewable energy (rock anchors for floating wind devices), marine infrastructure and marine protected areas - a detailed reappraisal of the shallow marine bedrock geology of Ireland is urgently needed. At present only a low-resolution solid geology map is available on the EMODnet portal, however, with the acquisition of novel high-resolution multibeam echosounder (MBES) data from the INFOMAR programme, significant improvements can be made. The INFOMAR MBES dataset allows for an extension and improvement of the geological interpretation of the shallow marine regions but must rely on computer algorithms to effectively facilitate the task.
We propose a research project with the following objectives. Firstly, machine learning techniques (FCNNs) will be used to separate sediment cover from bedrock outcrops thus delineating the mappable areas, and discriminate bedrock into different morphotypes. Machine learning will produce confidence scores and provide repeatable methodologies for future application. Secondly, the bedrock morphotypes will be further characterised coupling semi-automated geomorphometry techniques with manual supervision, quality control and classification. Results will include a classification of the bedrock at stratigraphic Group level, major structural elements and allowing for the construction of simple cross sections. Finally, links to onshore geology mapping will be attempted with measurements of confidence included in the mapping.
Grant Approved
�183,238.00
Research Hub
Climate Change
Research Theme
2. Ireland's Future Climate, its Impacts, and Adaptation Options
Initial Projected Completion Date
28/02/2026