Proposing an easy-to-use tool for estimating landslide dimensions using a data-driven approach

Abraham, MT; Satyam, N; Pradhan, B; Segoni, S

Proposing an easy-to-use tool for estimating landslide dimensions using a data-driven approach

Abraham, MT Satyam, N Pradhan, B

Segoni, S

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Publisher:: Taylor & Francis
Publication Type:: Journal Article
Citation:: All Earth, 2022, 34, (1), pp. 243-258
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Abraham, MT
dc.contributor.author	Satyam, N
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Segoni, S
dc.date.accessioned	2023-03-21T02:02:25Z
dc.date.available	2023-03-21T02:02:25Z
dc.date.issued	2022-01-01
dc.identifier.citation	All Earth, 2022, 34, (1), pp. 243-258
dc.identifier.issn	2766-9645
dc.identifier.issn	2766-9645
dc.identifier.uri	http://hdl.handle.net/10453/167892
dc.description.abstract	The increase in population and urbanisation of hilly regions have increased the risk due to landslides. This manuscript presents a data-driven approach with a random forest algorithm to estimate the projected area, length, travel distance, and width of landslides, using elevation and slope information. The method is tested for two different study areas (Idukki and Wayanad), using three different combinations of inputs. The input features considered were elevation ((Formula presented.)), tangential slope ((Formula presented.)), drop height ((Formula presented.)), angle of reach ((Formula presented.)) and the profile curvature ((Formula presented.)). A total of 144 models were considered and were evaluated using mean-absolute-error ((Formula presented.)) and root-mean-square-error (RMSE) values. The results indicate that, by using E and θ alone, the (Formula presented.) value in estimating the length values for flow-like landslides in Wayanad was reduced from 472.74 m to 204.64 m. Out of the 48 combinations considered, (Formula presented.) values have increased in seven cases and (Formula presented.) values in eight cases only. The pre-trained models are saved and used to develop an easy-to-use tool, which can bypass the complications associated with the existing statistical approaches. The tool can be used by untrained personnel for preliminary hazard assessment.
dc.language	en
dc.publisher	Taylor & Francis
dc.relation.ispartof	All Earth
dc.relation.isbasedon	10.1080/27669645.2022.2127549
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Proposing an easy-to-use tool for estimating landslide dimensions using a data-driven approach
dc.type	Journal Article
utslib.citation.volume	34
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-21T02:02:21Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	34
utslib.citation.issue	1

Abstract:

The increase in population and urbanisation of hilly regions have increased the risk due to landslides. This manuscript presents a data-driven approach with a random forest algorithm to estimate the projected area, length, travel distance, and width of landslides, using elevation and slope information. The method is tested for two different study areas (Idukki and Wayanad), using three different combinations of inputs. The input features considered were elevation ((Formula presented.)), tangential slope ((Formula presented.)), drop height ((Formula presented.)), angle of reach ((Formula presented.)) and the profile curvature ((Formula presented.)). A total of 144 models were considered and were evaluated using mean-absolute-error ((Formula presented.)) and root-mean-square-error (RMSE) values. The results indicate that, by using E and θ alone, the (Formula presented.) value in estimating the length values for flow-like landslides in Wayanad was reduced from 472.74 m to 204.64 m. Out of the 48 combinations considered, (Formula presented.) values have increased in seven cases and (Formula presented.) values in eight cases only. The pre-trained models are saved and used to develop an easy-to-use tool, which can bypass the complications associated with the existing statistical approaches. The tool can be used by untrained personnel for preliminary hazard assessment.

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http://hdl.handle.net/10453/167892