Spatial mapping of landslide susceptibility in Jerash governorate of Jordan using genetic algorithm-based wrapper feature selection and bagging-based ensemble model-Reference-Cited by-同舟云学术

Spatial mapping of landslide susceptibility in Jerash governorate of Jordan using genetic algorithm-based wrapper feature selection and bagging-based ensemble model

Published:2022-08-22 Issue:1 Volume:13 Page:2252-2282
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Al-Shabeeb Abdel Rahman¹,Al-Fugara A’kif²,Khedher Khaled Mohamed³⁴,Mabdeh Ali Nouh¹,Al-Adamat Rida¹

Affiliation:

1. Department of GIS and Remote Sensing, Institute of Earth and Environmental Sciences, Al Al-Bayt University, Mafraq, Jordan

2. Department of Surveying Engineering, Faculty of Engineering, Al Al-Bayt University, Mafraq, Jordan

3. Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia

4. Department of Civil Engineering, High Institute of Technological Studies, Mrezgua University Campus, Nabeul, Tunisia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2022.2112096

Reference75 articles.

1. Assessing LNRF, FR, and AHP models in landslide susceptibility mapping index: a comparative study of Nojian watershed in Lorestan province, Iran

2. Evaluation of Landslide Susceptibility of Şavşat District of Artvin Province (Turkey) Using Machine Learning Techniques

3. Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey

4. GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

5. An ensemble model for landslide susceptibility mapping in a forested area

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