Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques

The quality of digital elevation models (DEMs), as well as their spatial resolution, are important issues in geomorphic studies. However, their influence on landslide susceptibility mapping (LSM) remains poorly constrained. This work determined the scale dependency of DEM-derived geomorphometric fac...

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Detalles Bibliográficos
Autores principales: Chang, Kuan-Tsung, Merghadi, Abdelaziz, Yunus, Ali P., Pham, Binh Thai, Dou, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707277/
https://www.ncbi.nlm.nih.gov/pubmed/31444375
http://dx.doi.org/10.1038/s41598-019-48773-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707277/
https://www.ncbi.nlm.nih.gov/pubmed/31444375
http://dx.doi.org/10.1038/s41598-019-48773-2

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