A comprehensive review of machine learning‐based methods in landslide susceptibility map**

S Liu, L Wang, W Zhang, Y He, S Pijush - Geological Journal, 2023 - Wiley Online Library
Landslide susceptibility map** (LSM) has been widely used as an important reference for
development and construction planning to mitigate the potential social‐eco impact caused …

Multi-and hyperspectral geologic remote sensing: A review

FD Van der Meer, HMA Van der Werff… - International journal of …, 2012 - Elsevier
Geologists have used remote sensing data since the advent of the technology for regional
map**, structural interpretation and to aid in prospecting for ores and hydrocarbons. This …

[HTML][HTML] Application of remote sensing and machine learning algorithms for forest fire map** in a Mediterranean area

M Mohajane, R Costache, F Karimi, QB Pham… - Ecological …, 2021 - Elsevier
Forest fire disaster is currently the subject of intense research worldwide. The development
of accurate strategies to prevent potential impacts and minimize the occurrence of disastrous …

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon …

A Aditian, T Kubota, Y Shinohara - Geomorphology, 2018 - Elsevier
This study aims to evaluate landslide causative factors in landslide susceptibility
assessments and to compare landslide susceptibility models based on the bivariate …

Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

W Chen, M Panahi, P Tsangaratos, H Shahabi, I Ilia… - Catena, 2019 - Elsevier
The main objective of the present study was to produce a novel ensemble data mining
technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by …

A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility map**

QB Pham, Y Achour, SA Ali, F Parvin… - … , Natural Hazards and …, 2021 - Taylor & Francis
Landslides are dangerous events which threaten both human life and property. The study
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …

GIS-based landslide susceptibility map** and assessment using bivariate statistical methods in Simada area, northwestern Ethiopia

T Mersha, M Meten - Geoenvironmental disasters, 2020 - Springer
Simada area is found in the South Gondar Zone of Amhara National Regional State and it is
780Km far from Addis Ababa. Physiographically, it is part of the northwestern highlands of …

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

MS Tehrany, B Pradhan, MN Jebur - Stochastic environmental research …, 2015 - Springer
Flood is one of the most commonly occurred natural hazards worldwide. Severe flood
occurrences in Kelantan, Malaysia cause damage to both life and property every year. Due …

[HTML][HTML] Flood vulnerability map** using frequency ratio (FR) model: a case study on Kulik river basin, Indo-Bangladesh Barind region

D Sarkar, P Mondal - Applied Water Science, 2020 - Springer
Flood is a natural but inevitable phenomenon occurring over the period of time. It not only
damages the life, property and resources, but also hampers the economy of a nation. In this …

Landslide susceptibility map** using different GIS-based bivariate models

E Nohani, M Moharrami, S Sharafi, K Khosravi… - Water, 2019 - mdpi.com
Landslides are the most frequent phenomenon in the northern part of Iran, which cause
considerable financial and life damages every year. One of the most widely used …