Landslide Susceptibility Analysis on the Vicinity of Bogotá-Villavicencio Road (Eastern Cordillera of the Colombian Andes)

first_pagesettingsOrder Article Reprints Open AccessArticle Landslide Susceptibility Analysis on the Vicinity of Bogotá-Villavicencio Road (Eastern Cordillera of the Colombian Andes) by María Camila Herrera-Coy 1ORCID,Laura Paola Calderón 2,Iván Leonardo Herrera-Pérez 1,3,Paul Esteban Bravo-López 1,4ORCID,Christian Conoscenti 2ORCID,Jorge Delgado 1ORCID,Mario Sánchez-Gómez 5,6ORCID andTomás Fernández 1,6,*ORCID 1 Department of Cartographic, Geodetic and Photogrammetric Engineering, University of Jaén, 23071 Jaén, Spain 2 Department of Earth and Marine Sciences (DiSTeM), University of Palermo, 90123 Palermo, Italy 3 Department of Geographic and Environmental Engineering, University of Applied and Environmental Sciences (U.D.C.A.), Bogotá 111166, Colombia 4 Institute for Studies of Sectional Regime of Ecuador (IERSE), University of Azuay, Cuenca 010107, Ecuador 5 Department of Geology, University of Jaén, 23071 Jaén, Spain 6 Natural Hazards Lab of the Centre for Advanced Studies in Earth Sciences, Energy and Environment (CEACTEMA), University of Jaén, 23071 Jaén, Spain * Author to whom correspondence should be addressed. Remote Sens. 2023, 15(15), 3870; https://doi.org/10.3390/rs15153870 Received: 11 June 2023 / Revised: 24 July 2023 / Accepted: 31 July 2023 / Published: 4 August 2023 (This article belongs to the Special Issue Remote Sensing Techniques for Landslides Studies and Their Hazards Assessment) Download Browse Figures Versions Notes Abstract Landslide occurrence in Colombia is very frequent due to its geographical location in the Andean mountain range, with a very pronounced orography, a significant geological complexity and an outstanding climatic variability. More specifically, the study area around the Bogotá-Villavicencio road in the central sector of the Eastern Cordillera is one of the regions with the highest concentration of phenomena, which makes its study a priority. An inventory and detailed analysis of 2506 landslides has been carried out, in which five basic typologies have been differentiated: avalanches, debris flows, slides, earth flows and creeping areas. Debris avalanches and debris flows occur mainly in metamorphic materials (phyllites, schists and quartz-sandstones), areas with sparse vegetation, steep slopes and lower sections of hillslopes; meanwhile, slides, earth flows and creep occur in Cretaceous lutites, crop/grass lands, medium and low slopes and lower-middle sections of the hillslopes. Based on this analysis, landslide susceptibility models have been made for the different typologies and with different methods (matrix, discriminant analysis, random forest and neural networks) and input factors. The results are generally quite good, with average AUC-ROC values above 0.7–0.8, and the machine learning methods are the most appropriate, especially random forest, with a selected number of factors (between 6 and 8). The degree of fit (DF) usually shows relative errors lower than 5% and success higher than 90%. Finally, an integrated landslide susceptibility map (LSM) has been made for shallower and deeper types of movements. All the LSM show a clear zonation as a consequence of the geological control of the susceptibility.

• Autores: Herrera Coy, María Camila; Calderon-Cucunuba, Laura Paola; Herrera-Pérez, Iván Leonardo; Bravo-López, Paul Esteban; Conoscenti, Christian; Delgado-García, Jorge; Sánchez-Gómez, Mario; Fernández del Castillo, Tomás
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2023
• Institución: Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
• Repositorio: Repositorio Institucional UDCA
• Idioma: eng
• OAI Identifier: oai:repository.udca.edu.co:11158/5447
• Acceso en línea: https://repository.udca.edu.co/handle/11158/5447; https://doi.org/10.3390/rs151538
• Palabra clave: Susceptibilidad a deslizamientos; Deslizamiento de tierras; Carreteras
• Rights: openAccess
• License: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es