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Project Code [2020-W-PhD-20]
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Project title
A multi-data machine learning approach to identifying, mapping and characterising sinkhole populations in karst environments
Primary Funding Agency
Irish Research Council
Co-Funding Organisation(s)
Environmental Protection Agency
Lead Organisation
University College Dublin (UCD)
Lead Applicant
Eoghan Holoahan
Project Abstract
This project aims to develop a new automated method of identifying sinkholes by using machine learning techniques (Neural Networks) to analyse multiple datasets, each recording different sinkhole characteristics, simultaneously. The machine learning approach will be trained, validated and applied to datasets comprising optical satellite imagery and 3D topographic models of sub-metre resolution from a range of karst environments. We will study the derived sinkhole distribution and attributes to better understand links between different morphologies and formation processes in these environments. Ultimately, we aim to use the new method to create an open-source tool to enable robust and rapid mapping of karst depressions within Geographic Information Systems. In the long run, this tool would aid assessment of groundwater vulnerability and planning of infrastructure projects as part of managing and sustaining natural resources in karst environments.
Grant Approved
�96,000.00
Research Hub
Natural Environment
Research Theme
Understanding, managing and conserving our water resources
Initial Projected Completion Date
30/09/2024