[HTML][HTML] GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

SA Ali, F Parvin, J Vojteková, R Costache, NTT Linh… - Geoscience …, 2021 - Elsevier
Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …

GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques

M Shafapour Tehrany, F Shabani… - … , Natural Hazards and …, 2017 - Taylor & Francis
The aim of this research was to evaluate the predictive performances of frequency ratio (FR),
logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in …

Performance of frequency ratio and logistic regression model in creating GIS based landslides susceptibility map at Lompobattang Mountain, Indonesia

AR Rasyid, NP Bhandary, R Yatabe - Geoenvironmental Disasters, 2016 - Springer
The purposes of this study is to create a landslide susceptibility map (LSM) for
Lompobattang Mountain area in Indonesia. The foot of the Lompobattang Mountain area …

Landslide susceptibility analysis: A logistic regression model case study in Coonoor, India

ER Sujatha, V Sridhar - Hydrology, 2021 - mdpi.com
Landslides are a common geologic hazard that disrupts the social and economic balance of
the affected society. Therefore, identifying zones prone to landslides is necessary for safe …

Fuzzy gamma operator model for preparing landslide susceptibility zonation mapping in parts of Kohima Town, Nagaland, India

HV Sema, B Guru, R Veerappan - Modeling Earth Systems and …, 2017 - Springer
Growing population and expansion of settlements over hilly areas have largely increased
the impact of landslide. This paper deals with the use of Geoinformatics technology and …

Smart logistics system in food horticulture industrial products: A systematic review and future research agenda

R Yusianto, M Marimin, S Suprihatin… - International Journal of …, 2020 - elibrary.ru
Food horticultural commodities are perishable products. Quality decreases rapidly after
harvest. Therefore, timely handling and distribution of products must be considered to …

Predicting landslide susceptibility and risks using GIS-based machine learning simulations, case of upper Nyabarongo catchment

JB Nsengiyumva, R Valentino - Geomatics, Natural Hazards and …, 2020 - Taylor & Francis
Sustainable landslide mitigation requires appropriate approaches to predict susceptible
zones. This study compared the performance of Logistic Model Tree (LMT), Random Forest …

Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa

JB Nsengiyumva, G Luo, AC Amanambu… - Science of the total …, 2019 - Elsevier
Application of suitable methods to generate landslide susceptibility maps (LSM) can play a
key role in risk management. Rwanda, located in centre-eastern Africa experiences frequent …

Landslide susceptibility mapping along Kolli hills Ghat road section (India) using frequency ratio, relative effect and fuzzy logic models

V Ramesh, S Anbazhagan - Environmental Earth Sciences, 2015 - Springer
This article emphasizes landslide susceptibility mapping along Ghat road of Kolli hills, Tamil
Nadu, India, using frequency ratio, relative effect and fuzzy gamma operator models with the …

Ensemble of fuzzy-analytical hierarchy process in landslide susceptibility modeling from a humid tropical region of Western Ghats, Southern India

G Gopinath, N Jesiya, AL Achu, A Bhadran… - … Science and Pollution …, 2024 - Springer
The western flanks of the Western Ghats are one of the major landslide hotspots in India.
Recent rainfall triggered landslide incidents in this humid tropical region necessitating the …