[HTML][HTML] Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
AM Youssef, HR Pourghasemi - Geoscience Frontiers, 2021 - Elsevier
The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their …
AM Youssef, HR Pourghasemi, ZS Pourtaghi… - Landslides, 2016 - Springer
The purpose of the current study is to produce landslide susceptibility maps using different
data mining models. Four modeling techniques, namely random forest (RF), boosted …
data mining models. Four modeling techniques, namely random forest (RF), boosted …
The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China
K Zhang, X Wu, R Niu, K Yang, L Zhao - Environmental Earth Sciences, 2017 - Springer
Landslide susceptibility mapping is an indispensable prerequisite for landslide prevention
and reduction. At present, research into landslide susceptibility mapping has begun to …
and reduction. At present, research into landslide susceptibility mapping has begun to …
Land-subsidence susceptibility zonation using remote sensing, GIS, and probability models in a Google Earth Engine platform
Z Najafi, HR Pourghasemi, G Ghanbarian… - Environmental Earth …, 2020 - Springer
Land subsidence causes many problems, including faulting of Earth's surface, damage
irrigation systems, reduced soil fertility, misalignment and failure of the walls of wells …
irrigation systems, reduced soil fertility, misalignment and failure of the walls of wells …
A novel genetic algorithm for optimization of conditioning factors in shallow translational landslides and susceptibility mapping
Genetic algorithm (GA) is an effective approach in selecting the best factors without
considering all possible combinations in landslide susceptibility mapping (LSM). The …
considering all possible combinations in landslide susceptibility mapping (LSM). The …
Identification of precipitation trend and landslide susceptibility analysis in Miandoab County using MATLAB
N Rezapour Andabili, M Safaripour - Environmental Monitoring and …, 2022 - Springer
Iranian plateau is a seismically active region. Within this region, northwestern Iran is of high
importance. Before proper planning for mitigating the earthquake-induced hazards can be …
importance. Before proper planning for mitigating the earthquake-induced hazards can be …
Statistical methods to assess rockfall susceptibility in an alpine environment: a focus on climatic forcing and geomechanical variables
G Bajni - 2022 - air.unimi.it
The overarching goal of the doctoral thesis was thus the development of a systematic
procedure capable to examine and enhance the role of geomechanical and climatic …
procedure capable to examine and enhance the role of geomechanical and climatic …
اولویت‌بندی عوامل موثر بر وقوع زمین‌لغزش و تهیه نقشه حساسیت آن با استفاده از الگوریتم نوین جنگل تصادفی (مطالعه موردی: بخشی از استان گلستان)
محمدی, پورقاسمی - (پژوهشنامه مدیریت حوزه آبخیز (علمی-پژوهشی, 2017 - jwmr.sanru.ac.ir
زمین‌لغزش بهعنوان یکی از بلایای طبیعی، خطراتزیادی بهویژه در مناطق کوهستانی داشته و منجر
به خسارت جانی و مالی فراوانی در سرتاسر دنیا می‌شود. ایران بهویژه در مناطق شمالی و غربی بهخاطر …
به خسارت جانی و مالی فراوانی در سرتاسر دنیا می‌شود. ایران بهویژه در مناطق شمالی و غربی بهخاطر …