Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates

E. Hayes; S. Higgins; J. Geris; D. Mullan

Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates

E. Hayes, S. Higgins, J. Geris, D. Mullan

School of Natural and Built Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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
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
Publisher	European Grassland Federation

1 Participation in conference

21st European Grassland Federation Symposium
Emma Hayes (Participant)
17 May 2021 → 19 May 2021
Activity: Participating in or organising an event types › Participation in conference

Novel tools for quantifying and managing sediment and nutrient loss from agricultural land
Hayes, E. (Author), Mullan, D. (Supervisor), Dec 2023
Student thesis: Doctoral Thesis › Doctor of Philosophy

1 Poster

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

Cite this

Hayes, E., Higgins, S., Geris, J., & Mullan, D. (2021). Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates. In T. Astor, & I. Dzene (Eds.), Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice (Vol. 26, pp. 196-198). (Grassland Science in Europe). 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.

Hayes, E. ; Higgins, S. ; Geris, J. et al. / Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates. Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice. editor / T. Astor ; I. Dzene. Vol. 26 Online : 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, 2021. pp. 196-198 (Grassland Science in Europe).

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title = "Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates",

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.",

author = "E. Hayes and S. Higgins and J. Geris and D. Mullan",

year = "2021",

month = may,

day = "17",

language = "English",

volume = "26",

series = "Grassland Science in Europe",

publisher = "The Organising Committee of the 21st Symposium of the European Grassland Federation, Universit{\"a}t Kassel, Grassland Science and Renewable Plant Resources, Steinstrasse 19, 37213 Witzenhausen, Germany",

pages = "196--198",

editor = "T. Astor and I. Dzene",

booktitle = "Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice",

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Hayes, E, Higgins, S, Geris, J & Mullan, D 2021, Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates. in T Astor & I Dzene (eds), Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice. vol. 26, Grassland Science in Europe, 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, Online, pp. 196-198.

Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates. / Hayes, E.; Higgins, S.; Geris, J. et al.
Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice. ed. / T. Astor; I. Dzene. Vol. 26 Online: 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, 2021. p. 196-198 (Grassland Science in Europe).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates

AU - Hayes, E.

AU - Higgins, S.

AU - Geris, J.

AU - Mullan, D.

PY - 2021/5/17

Y1 - 2021/5/17

N2 - 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.

AB - 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.

M3 - Conference contribution

VL - 26

T3 - Grassland Science in Europe

SP - 196

EP - 198

BT - Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice

A2 - Astor, T.

A2 - Dzene, I.

PB - 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

CY - Online

ER -

Hayes E, Higgins S, Geris J, Mullan D. Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates. In Astor T, Dzene I, editors, Proceedings of the 21st Symposium of the European Grassland Federation: Sensing – New Insights into Grassland Science and Practice. Vol. 26. Online: 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. 2021. p. 196-198. (Grassland Science in Europe).

Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates

Abstract

Publication series

Fingerprint

Activities

21st European Grassland Federation Symposium

Student theses

Novel tools for quantifying and managing sediment and nutrient loss from agricultural land

Research output

Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates

Cite this