Spatiotemporal landslide susceptibility mapping using machine learning models: A case study from district Hattian Bala, NW Himalaya, Pakistan-Reference-Cited by-同舟云学术

Spatiotemporal landslide susceptibility mapping using machine learning models: A case study from district Hattian Bala, NW Himalaya, Pakistan

Published:2023-04 Issue:3 Volume:14 Page:101907
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Hammad Khaliq Ahmad,Basharat Muhammad,Talha Riaz Malik,Tayyib Riaz Muhammad,Wani Saad,Al-Ansari Nadhir,Ba Le Long,Thi Thuy Linh Nguyen

Publisher

Elsevier BV

Subject

General Engineering

Reference115 articles.

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3. GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms;Arabameri;Journal of Mountain Science,2019

4. Lidar Data Analysis With Digital Image Correlation (Dic) In Obtaining Landslide Displacement Fields: A Case Of Gschliefgraben Landslide-Austria: Online;Aydin;J Sci Technol,2017

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