Mass movement susceptibility prediction and infrastructural risk assessment (IRA) using GIS-based Meta classification algorithms

Author:

Ali Sk AjimORCID,Mohajane Meriame,Parvin Farhana,Varasano Antonietta,Hitouri Sliman,Łupikasza EwaORCID,Pham Quoc Bao

Publisher

Elsevier BV

Subject

Software

Reference169 articles.

1. A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (Case study: Yozidar-Degaga Route in Kurdistan Province, Iran);Asadi;Environ. Earth Sci.,2022

2. A comparative study on machine learning modeling for mass movement susceptibility mapping (a case study of Iran);Emami;Bull. Eng. Geol. Environ.,2020

3. A GIS-based landslide susceptibility mapping and variable importance analysis using artificial intelligent training-based methods;Zhao;Remote Sens.,2022

4. Landslide occurrences in the hilly areas of Rwanda, their causes and protection measures;Bizimana;Disaster Sci. Eng.,2015

5. Social and environmental impacts of landslides;Turner;Innov. Infrastruct. Solut.,2018

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