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.
|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|
|Number of pages||3|
|Publication status||Published - 17 May 2021|