Flood susceptibility map** with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

TG Nachappa, ST Piralilou, K Gholamnia… - Journal of …, 2020 - Elsevier
Floods are one of the most widespread natural hazards occurring across the globe. The
main objective of this study was to produce flood susceptibility maps for the province of …

A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020

J Huang, X Wu, S Ling, X Li, Y Wu, L Peng… - … Science and Pollution …, 2022 - Springer
To assess the status of hotspots and research trends on geographic information system
(GIS)–based landslide susceptibility (LS), we analysed 1142 articles from the Thomas …

Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China

C Li**, S Yujun, S Saeed - PloS one, 2018 - journals.plos.org
Land use and land cover change research has been applied to landslides, erosion, land
planning and global change. Based on the CA-Markov model, this study predicts the spatial …

Flood susceptibility map** using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

O Rahmati, HR Pourghasemi, H Zeinivand - Geocarto International, 2016 - Taylor & Francis
Flood is one of the most devastating natural disasters with socio-economic and
environmental consequences. Thus, comprehensive flood management is essential to …

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility map** at Haraz watershed, Iran

HR Pourghasemi, B Pradhan, C Gokceoglu - Natural hazards, 2012 - Springer
The main goal of this study is to produce landslide susceptibility maps of a landslide-prone
area (Haraz) in Iran by using both fuzzy logic and analytical hierarchy process (AHP) …

Landslide susceptibility map** using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road …

KC Devkota, AD Regmi, HR Pourghasemi, K Yoshida… - Natural hazards, 2013 - Springer
Landslide susceptibility maps are vital for disaster management and for planning
development activities in the mountainous country like Nepal. In the present study, landslide …

Landslide susceptibility map** using index of entropy and conditional probability models in GIS: Safarood Basin, Iran

HR Pourghasemi, M Mohammady, B Pradhan - Catena, 2012 - Elsevier
Landslide susceptibility map** is essential for land use planning and decision-making
especially in the mountainous areas. The main objective of this study is to produce landslide …

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate …

B Pradhan, S Lee - Environmental Modelling & Software, 2010 - Elsevier
Data collection for landslide susceptibility modeling is often an inhibitive activity. This is one
reason why for quite some time landslides have been described and modelled on the basis …

Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models

B Pradhan, S Lee - Environmental Earth Sciences, 2010 - Springer
This paper summarizes findings of landslide hazard analysis on Penang Island, Malaysia,
using frequency ratio, logistic regression, and artificial neural network models with the aid of …

Landslide susceptibility map** using support vector machine and GIS at the Golestan Province, Iran

HR Pourghasemi, AG Jirandeh, B Pradhan… - Journal of Earth System …, 2013 - Springer
The main goal of this study is to produce landslide susceptibility map using GIS-based
support vector machine (SVM) at Kalaleh Township area of the Golestan province, Iran. In …