A ROC analysis-based classification method for landslide susceptibility maps

[EN] A landslide susceptibility map is a crucial tool for landuse spatial planning and management in mountainous areas. An essential issue in such maps is the determination of susceptibility thresholds. To this end, the map is zoned into a limited number of classes. Adopting one classification syste...

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Autores: Cantarino-Martí, Isidro, Goerlich-Gisbert, Francisco, Carrión Carmona, Miguel Ángel|||0000-0003-2998-3031, Martínez Ibáñez, Víctor|||0000-0003-4445-2896
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/113372
Acceso en línea:https://riunet.upv.es/handle/10251/113372
Access Level:acceso abierto
Palabra clave:Landslide susceptibility maps
GIS
ROC analysis
Classification systems
INGENIERIA DEL TERRENO
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network_acronym_str ES
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spelling A ROC analysis-based classification method for landslide susceptibility mapsCantarino-Martí, IsidroGoerlich-Gisbert, FranciscoCarrión Carmona, Miguel Ángel|||0000-0003-2998-3031Martínez Ibáñez, Víctor|||0000-0003-4445-2896Landslide susceptibility mapsGISROC analysisClassification systemsINGENIERIA DEL TERRENO[EN] A landslide susceptibility map is a crucial tool for landuse spatial planning and management in mountainous areas. An essential issue in such maps is the determination of susceptibility thresholds. To this end, the map is zoned into a limited number of classes. Adopting one classification system or another will not only affect the map's readability and final appearance, but most importantly, it may affect the decision-making tasks required for effective land management. The present study compares and evaluates the reliability of some of the most commonly used classification methods, applied to a susceptibility map produced for the area of La Marina (Alicante, Spain). A new classification method based on ROC analysis is proposed, which extracts all the useful information from the initial dataset (terrain characteristics and landslide inventory) and includes, for the first time, the concept of misclassification costs. This process yields a more objective differentiation of susceptibility levels that relies less on the intrinsic structure of the terrain characteristics. The results reveal a considerable difference between the classification methods used to define the most susceptible zones (in over 20% of the surface) and highlight the need to establish a standard method for producing classified susceptibility maps. The method proposed in the study is particularly notable for its consistency, stability and homogeneity, and may mark the starting point for consensus on a generalisable classification method.Springer-VerlagDepartamento de Ingeniería del TerrenoEscuela Técnica Superior de Ingeniería de Caminos, Canales y PuertosRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/113372reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1133722026-06-13T07:49:27Z
dc.title.none.fl_str_mv A ROC analysis-based classification method for landslide susceptibility maps
title A ROC analysis-based classification method for landslide susceptibility maps
spellingShingle A ROC analysis-based classification method for landslide susceptibility maps
Cantarino-Martí, Isidro
Landslide susceptibility maps
GIS
ROC analysis
Classification systems
INGENIERIA DEL TERRENO
title_short A ROC analysis-based classification method for landslide susceptibility maps
title_full A ROC analysis-based classification method for landslide susceptibility maps
title_fullStr A ROC analysis-based classification method for landslide susceptibility maps
title_full_unstemmed A ROC analysis-based classification method for landslide susceptibility maps
title_sort A ROC analysis-based classification method for landslide susceptibility maps
dc.creator.none.fl_str_mv Cantarino-Martí, Isidro
Goerlich-Gisbert, Francisco
Carrión Carmona, Miguel Ángel|||0000-0003-2998-3031
Martínez Ibáñez, Víctor|||0000-0003-4445-2896
author Cantarino-Martí, Isidro
author_facet Cantarino-Martí, Isidro
Goerlich-Gisbert, Francisco
Carrión Carmona, Miguel Ángel|||0000-0003-2998-3031
Martínez Ibáñez, Víctor|||0000-0003-4445-2896
author_role author
author2 Goerlich-Gisbert, Francisco
Carrión Carmona, Miguel Ángel|||0000-0003-2998-3031
Martínez Ibáñez, Víctor|||0000-0003-4445-2896
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería del Terreno
Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Landslide susceptibility maps
GIS
ROC analysis
Classification systems
INGENIERIA DEL TERRENO
topic Landslide susceptibility maps
GIS
ROC analysis
Classification systems
INGENIERIA DEL TERRENO
description [EN] A landslide susceptibility map is a crucial tool for landuse spatial planning and management in mountainous areas. An essential issue in such maps is the determination of susceptibility thresholds. To this end, the map is zoned into a limited number of classes. Adopting one classification system or another will not only affect the map's readability and final appearance, but most importantly, it may affect the decision-making tasks required for effective land management. The present study compares and evaluates the reliability of some of the most commonly used classification methods, applied to a susceptibility map produced for the area of La Marina (Alicante, Spain). A new classification method based on ROC analysis is proposed, which extracts all the useful information from the initial dataset (terrain characteristics and landslide inventory) and includes, for the first time, the concept of misclassification costs. This process yields a more objective differentiation of susceptibility levels that relies less on the intrinsic structure of the terrain characteristics. The results reveal a considerable difference between the classification methods used to define the most susceptible zones (in over 20% of the surface) and highlight the need to establish a standard method for producing classified susceptibility maps. The method proposed in the study is particularly notable for its consistency, stability and homogeneity, and may mark the starting point for consensus on a generalisable classification method.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/113372
url https://riunet.upv.es/handle/10251/113372
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag
publisher.none.fl_str_mv Springer-Verlag
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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