The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen commune (Tetouan, Northern Morocco)-Reference-Cited by-同舟云学术

The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen commune (Tetouan, Northern Morocco)

Published:2022-02-04 Issue:25 Volume:37 Page:9967-9997
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Bounab Ali¹^ORCID,Agharroud Kamal¹^ORCID,El Kharim Younes¹^ORCID,El Hamdouni Rachid²^ORCID,Faghloumi Layachi¹

Affiliation:

1. Department of Earth Sciences, Faculty of Sciences, Abdelmalek Essaadi University, Tetouan, Morocco

2. Civil Engineering Department. E.T.S. Ingenieros de Caminos, Canales y Puertos, Campus Universitario de Fuentenueva, s/n Granada University, Granada, Spain

Funder

CNRST ‘Centre National de Recherche Scientifique et Technique’

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2028905

Reference143 articles.

1. Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

2. Distribution of gravitational slope deformation and deep-seated landslides controlled by thrust faults in the Shimanto accretionary complex

3. Assessment of shallow landslide susceptibility by means of multivariate statistical techniques

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