A simple GIS-based tool for the detection of landslide-prone zones on a coastal slope in Scotland

Alejandro Gonzalez Ollauri; Slobodan B. Mickovski

doi:10.3390/land10070685

A simple GIS-based tool for the detection of landslide-prone zones on a coastal slope in Scotland

Alejandro Gonzalez Ollauri^*, Slobodan B. Mickovski

^*Corresponding author for this work

Civil Engineering and Environmental Management

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

176 Downloads (Pure)

Abstract

Effective landslide detection is crucial to mitigate the negative impacts derived from the occurrence of these natural hazards. Research on landslide detection methods has been extensively undertaken. However, simplified methods for landslide detection requiring a minimum amount of data inputs are still lacking. Simple approaches for landslide detection should be particularly interesting for geographical areas with limited information or resources availability. The aim of this paper is to present a refined, simple, GIS-based tool for the detection of landslide-prone and slope restoration zones. The tool only requires a digital elevation model (DEM) dataset as input, it is interoperable at multiple spatial scales, and it can be implemented on any GIS platform. The tool was applied on a coastal slope prone to instability, located in Scotland, in order to verify the functionality of the tool. The results indicated that the proposed tool is able to detect both shallow and deeper landslides satisfactorily, suggesting that the spatial combination of steep and potentially wet soil zones is effective for detecting areas prone to slope failure.

Original language	English
Article number	685
Number of pages	15
Journal	Land
Volume	10
Issue number	7
Early online date	28 Jun 2021
DOIs	https://doi.org/10.3390/land10070685
Publication status	Published - Jul 2021

Keywords

GIS
climate action
climate change
sustainability
resilience
erosion
landslides
machine learning
adaptive management
eco-engineering
geographical information system (GIS)
natural hazards
conservation
restoration
Scotland

ASJC Scopus subject areas

General Agricultural and Biological Sciences
General Engineering
General Environmental Science
General Materials Science
General Earth and Planetary Sciences
General Computer Science
General Decision Sciences
Nature and Landscape Conservation
Global and Planetary Change
Ecology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Documents and Links

10.3390/land10070685

Ollauri, A. G. & Mickovski, S. B. (2021) A simple GIS-based tool for the detection of landslide-prone zones on a coastal slope in Scotland
Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).
Final published version, 3.06 MBLicence: CC BY

7 Citations
33 Article
8 Conference contribution
4 Review article
2 Anthology/Edited Book
More
- 2 Editorial

A case history of co-design and co-deployment of a nature-based solution (NbS) against erosion and slope instability
Mickovski, S. B., Gonzalez-Ollauri, A., Sorolla, A., Loechner, A. & Emmanuel, R., Dec 2024, In: Ecological Engineering. 209, 10 p., 107406.
Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
A review of the occurrence and causes for wildfires and their impacts on the geoenvironment
Farid, A., Alam, M. K., Goli, V. S. N. S., Akin, I. D., Akinleye, T., Chen, X., Cheng, Q., Cleall, P., Cuomo, S., Foresta, V., Ge, S., Iervolino, L., Iradukunda, P., Luce, C. H., Koda, E., Mickovski, S. B., O'Kelly, B. C., Paleologos, E. K., Peduto, D. & Ricketts, E. J. & 9 others, Sadegh, M., Sarris, T. S., Singh, D. N., Singh, P., Tang, C.-S., Tardio, G., Vaverikova, M. D., Veneris, M. & Winkler, J., Aug 2024, In: Fire. 7, 8, 20 p., 295.
Research output: Contribution to journal › Review article › peer-review

Open Access
File
5 Citations (Scopus)

105 Downloads (Pure)
Bervie Braes at 10 years: critical review of the effectiveness of slope stabilisation measures
Mickovski, S. B., 17 Sept 2024, Geotechnical Engineering Challenges to Meet Current and Emerging Needs of Society: Proceedings of the XVIII European Conference on Soil Mechanics and Geotechnical Engineering 2024. Guerra, N., Fernandes, M. M., Ferreira, C., Correia, A. G., Pinto, A. & Sêco e Pinto, P. (eds.). CRC Press, p. 3141-3144 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File

2 Finished

Changes to the agricultural land bank and implications for fod security using landspreading of wastes and waste-deprived materials as an example.
Mickovski, S. (PI), Gonzalez Ollauri, A. (CoI), Thomson, C. (CoI), Redshaw, J. (CoI) & Scott, M. (CoI)
Engineering and Physical Sciences Research Council
1/09/17 → 30/12/17
Project: Research Grant
ECOMED: Specialisation process for a soil and water bioengineering sector in the Mediterranean environment.
Mickovski, S. (CoI), Gallagher, C. (CoI), Gonzalez Ollauri, A. (CoI), Thomson, C. (CoI) & Garcia Rodriguez, J. L. (PI)
European Commission
19/01/17 → 19/01/19
Project: Research Grant

Cite this

@article{bcb2ceed4ab44441ab61bbecb0be8404,

title = "A simple GIS-based tool for the detection of landslide-prone zones on a coastal slope in Scotland",

abstract = "Effective landslide detection is crucial to mitigate the negative impacts derived from the occurrence of these natural hazards. Research on landslide detection methods has been extensively undertaken. However, simplified methods for landslide detection requiring a minimum amount of data inputs are still lacking. Simple approaches for landslide detection should be particularly interesting for geographical areas with limited information or resources availability. The aim of this paper is to present a refined, simple, GIS-based tool for the detection of landslide-prone and slope restoration zones. The tool only requires a digital elevation model (DEM) dataset as input, it is interoperable at multiple spatial scales, and it can be implemented on any GIS platform. The tool was applied on a coastal slope prone to instability, located in Scotland, in order to verify the functionality of the tool. The results indicated that the proposed tool is able to detect both shallow and deeper landslides satisfactorily, suggesting that the spatial combination of steep and potentially wet soil zones is effective for detecting areas prone to slope failure.",

keywords = "GIS, climate action, climate change, sustainability, resilience, erosion, landslides, machine learning, adaptive management, eco-engineering, geographical information system (GIS), natural hazards, conservation, restoration, Scotland",

author = "{Gonzalez Ollauri}, Alejandro and Mickovski, {Slobodan B.}",

note = "Acceptance in SharePoint (confirmed by webpage and VoR EKT 14.07.21) OA journal NYP: upon publication, replace AAM w/ VoR and update rights statement. ST 25/06/21 (done - ET 23/7/21)",

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month = jul,

doi = "10.3390/land10070685",

language = "English",

volume = "10",

journal = "Land",

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AU - Mickovski, Slobodan B.

N1 - Acceptance in SharePoint (confirmed by webpage and VoR EKT 14.07.21) OA journal NYP: upon publication, replace AAM w/ VoR and update rights statement. ST 25/06/21 (done - ET 23/7/21)

PY - 2021/7

Y1 - 2021/7

N2 - Effective landslide detection is crucial to mitigate the negative impacts derived from the occurrence of these natural hazards. Research on landslide detection methods has been extensively undertaken. However, simplified methods for landslide detection requiring a minimum amount of data inputs are still lacking. Simple approaches for landslide detection should be particularly interesting for geographical areas with limited information or resources availability. The aim of this paper is to present a refined, simple, GIS-based tool for the detection of landslide-prone and slope restoration zones. The tool only requires a digital elevation model (DEM) dataset as input, it is interoperable at multiple spatial scales, and it can be implemented on any GIS platform. The tool was applied on a coastal slope prone to instability, located in Scotland, in order to verify the functionality of the tool. The results indicated that the proposed tool is able to detect both shallow and deeper landslides satisfactorily, suggesting that the spatial combination of steep and potentially wet soil zones is effective for detecting areas prone to slope failure.

AB - Effective landslide detection is crucial to mitigate the negative impacts derived from the occurrence of these natural hazards. Research on landslide detection methods has been extensively undertaken. However, simplified methods for landslide detection requiring a minimum amount of data inputs are still lacking. Simple approaches for landslide detection should be particularly interesting for geographical areas with limited information or resources availability. The aim of this paper is to present a refined, simple, GIS-based tool for the detection of landslide-prone and slope restoration zones. The tool only requires a digital elevation model (DEM) dataset as input, it is interoperable at multiple spatial scales, and it can be implemented on any GIS platform. The tool was applied on a coastal slope prone to instability, located in Scotland, in order to verify the functionality of the tool. The results indicated that the proposed tool is able to detect both shallow and deeper landslides satisfactorily, suggesting that the spatial combination of steep and potentially wet soil zones is effective for detecting areas prone to slope failure.

KW - GIS

KW - climate action

KW - climate change

KW - sustainability

KW - resilience

KW - erosion

KW - landslides

KW - machine learning

KW - adaptive management

KW - eco-engineering

KW - geographical information system (GIS)

KW - natural hazards

KW - conservation

KW - restoration

KW - Scotland

U2 - 10.3390/land10070685

DO - 10.3390/land10070685

M3 - Article

SN - 2073-445X

VL - 10

JO - Land

JF - Land

IS - 7

M1 - 685

ER -

A simple GIS-based tool for the detection of landslide-prone zones on a coastal slope in Scotland

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Documents and Links

Fingerprint

Research output

A case history of co-design and co-deployment of a nature-based solution (NbS) against erosion and slope instability

A review of the occurrence and causes for wildfires and their impacts on the geoenvironment

Bervie Braes at 10 years: critical review of the effectiveness of slope stabilisation measures

Projects

Changes to the agricultural land bank and implications for fod security using landspreading of wastes and waste-deprived materials as an example.

ECOMED: Specialisation process for a soil and water bioengineering sector in the Mediterranean environment.

Cite this