Talks

Multi-spatial temporal remote sensing and machine learning for mapping land use on peatlands

June 26, 2024

Conference presentation, ML4EO, University of Exeter, Exeter, UK

Presented research on applying multi-spatial temporal remote sensing and machine learning approaches for mapping land use patterns on peatlands. The work demonstrates the integration of satellite imagery with advanced machine learning techniques to monitor and assess peatland ecosystems across different spatial and temporal scales.

Mapping vegetation communities across a drainage gradient in Irish raised bogs using PlanetScope Imagery

November 03, 2022

Conference presentation, 14th Irish Earth Observation Symposium, Technological University Dublin, Dublin, Ireland

Presented research on using PlanetScope high-resolution satellite imagery to map vegetation communities across drainage gradients in Irish raised bogs. The work demonstrates how drainage impacts affect vegetation patterns and community composition in peatland ecosystems.

Machine learning and deep learning for multi-temporal-spatial assessment of anthropogenic stressors on peatlands – A case study of Ireland

October 27, 2022

Conference presentation, Flow Country Research Conference, University of the Highlands and Islands, Thurso, Scotland

Presented comprehensive research on applying machine learning and deep learning techniques to assess anthropogenic stressors on peatland ecosystems using multi-temporal-spatial remote sensing data. The case study focused on Irish peatlands and demonstrated how advanced computational methods can detect and quantify human impacts on these critical ecosystems.

Mapping vegetation communities across a drainage gradient in Irish raised bogs

June 09, 2022

Conference presentation, Irish Geosciences Early Career Symposium, University College Cork, Cork, Ireland

Presented research on mapping vegetation communities across drainage gradients in Irish raised bogs, demonstrating the relationship between artificial drainage and vegetation community composition in peatland ecosystems.

Spatio-temporal assessment of management impacts on peatlands - A case study of Ireland

September 08, 2021

Workshop presentation, Open Data Science Europe, Wageningen, Wageningen, Netherlands

Presented research on spatio-temporal assessment of management impacts on peatlands using Ireland as a case study. The work demonstrates how open data science approaches can be applied to understand long-term management effects on peatland ecosystems.

Land-use change dynamics in the context of Irish raised bogs

May 19, 2021

Conference presentation, 52nd Annual Conference of Irish Geographers (Online), Online

Presented research on land-use change dynamics specifically focused on Irish raised bogs, examining temporal patterns of change and their implications for peatland conservation and management.

Characterisation of the 2020 Drumkeeran peat landslide: a large peat slide in Ireland

April 29, 2021

Conference presentation, EGU General Assembly, Vienna, Austria (Online), Vienna, Austria (Online)

Co-authored presentation on the characterisation of the 2020 Drumkeeran peat landslide, one of the largest peat slides recorded in Ireland. The research involved detailed analysis of the landslide event and its implications for peatland stability.

Geospatial Analysis of Peatland Land Use and Drainage in Ireland

February 12, 2020

Conference presentation, 5th Annual Insight Student Conference, National University of Ireland, Galway, Galway, Ireland

Presented research on geospatial analysis of peatland land use and drainage patterns across Ireland, demonstrating the application of GIS and remote sensing techniques to understand peatland management impacts.

Smart Observations of Management Impacts on Peatland Function (SmartBog)

December 05, 2019

Conference presentation, 13th Irish Earth Observation Symposium, National University of Ireland, Galway, Galway, Ireland

Presented the SmartBog project, focusing on smart observations of management impacts on peatland function using Earth observation and remote sensing technologies. The work outlines the comprehensive approach to monitoring peatland ecosystems and their response to management practices.