Slope Unit-Based Landslide Susceptibility Mapping Using Certainty Factor, Support Vector Machine, Random Forest, CF-SVM and CF-RF Models

Slope Unit-Based Landslide Susceptibility Mapping Using Certainty Factor, Support Vector Machine, Random Forest, CF-SVM and CF-RF Models

Landslide susceptibility mapping is very important for landslide risk evaluation and land use planning. Toward this end, this paper presents a case study in Ningqiang County, Shanxi Province, China. Slope units were selected as the basic mapping units. A traditional statistical certainty factor mode...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Zhou Zhao, Zeng yuan Liu, Chong Xu
Format: Artikel
Sprache:English
Veröffentlicht: Frontiers Media S.A. 2021-03-01
Schriftenreihe:Frontiers in Earth Science
Schlagworte:
landslide susceptibility mapping
certainty factor
random forest
support vector machine
slope units
Online Zugang:https://www.frontiersin.org/articles/10.3389/feart.2021.589630/full

Online

https://www.frontiersin.org/articles/10.3389/feart.2021.589630/full

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