Activities per year
Abstract
Nutrient and sediment loss from agricultural land is one of the major contributing factors in declining water quality. This research aims to quantify sediment and nutrient loading rates due to riverbank erosion using airborne LiDAR and field-collected data for sites in the Blackwater catchment, Northern Ireland. Using 2014 and 2020 LiDAR Digital Terrain Models, image differencing was performed in ArcMap to determine volume changes in riverbank elevation to quantify erosion rates. This was supported by cores of bank material, which were collected in situ for analysis of bulk density and total extractable phosphorus to determine sediment and phosphorus loading rates. We conclude that LiDAR and the collection of basic field data represent an innovative means to quantify erosion and nutrient loading rates without needing intensive time-consuming field surveys.
Original language | English |
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Title of host publication | Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice |
Editors | T. Astor, I. Dzene |
Place of Publication | Online |
Publisher | The Organising Committee of the 21st Symposium of the European Grassland Federation, Universität Kassel, Grassland Science and Renewable Plant Resources, Steinstrasse 19, 37213 Witzenhausen, Germany |
Pages | 196-198 |
Number of pages | 3 |
Volume | 26 |
ISBN (Electronic) | 9783000687891 |
Publication status | Published - 17 May 2021 |
Publication series
Name | Grassland Science in Europe |
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Publisher | European Grassland Federation |
Fingerprint
Dive into the research topics of 'Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates'. Together they form a unique fingerprint.Activities
- 1 Participation in conference
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21st European Grassland Federation Symposium
Emma Hayes (Participant)
17 May 2021 → 19 May 2021Activity: Participating in or organising an event types › Participation in conference
Student theses
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Novel tools for quantifying and managing sediment and nutrient loss from agricultural land
Hayes, E. (Author), Mullan, D. (Supervisor), Dec 2023Student thesis: Doctoral Thesis › Doctor of Philosophy
Research output
- 1 Poster
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Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates
Hayes, E., Higgins, S., Geris, J. & Mullan, D., 17 May 2021.Research output: Contribution to conference › Poster › peer-review