GIS-based machine learning algorithms for gully erosion susceptibility mapping in a semi-arid region of Iran

X Lei, W Chen, M Avand, S Janizadeh, N Kariminejad… - Remote Sensing, 2020 - mdpi.com
In the present study, gully erosion susceptibility was evaluated for the area of the Robat Turk
Watershed in Iran. The assessment of gully erosion susceptibility was performed using four …

Assessing the performance of GIS-based machine learning models with different accuracy measures for determining susceptibility to gully erosion

Y Garosi, M Sheklabadi, C Conoscenti… - Science of the Total …, 2019 - Elsevier
The main purpose was to compare discrimination and reliability of four machine learning
models to create gully erosion susceptibility map (GESM) in a part of Ekbatan Dam Basin …

A comparative assessment of random forest and k-nearest neighbor classifiers for gully erosion susceptibility mapping

M Avand, S Janizadeh, SA Naghibi, HR Pourghasemi… - Water, 2019 - mdpi.com
This research was conducted to determine which areas in the Robat Turk watershed in Iran
are sensitive to gully erosion, and to define the relationship between gully erosion and geo …

Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion

O Rahmati, N Tahmasebipour, A Haghizadeh… - Geomorphology, 2017 - Elsevier
Gully erosion constitutes a serious problem for land degradation in a wide range of
environments. The main objective of this research was to compare the performance of seven …

Spatial modeling of gully erosion using linear and quadratic discriminant analyses in GIS and R

A Arabameri, HR Pourghasemi - Spatial modeling in GIS and R for earth …, 2019 - Elsevier
Gully erosion is one of the most important types of water erosion that causes the destruction
of agricultural and range lands in arid and semiarid areas. The main purpose of this study …

Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation

O Ghorbanzadeh, H Shahabi, F Mirchooli… - … , Natural Hazards and …, 2020 - Taylor & Francis
Gully erosion is a severe form of soil erosion that results in a wide range of environmental
problems such as, dams' sedimentation, destruction of transportation and energy …

Gully erosion susceptibility assessment in the Kondoran watershed using machine learning algorithms and the Boruta feature selection

H Ahmadpour, O Bazrafshan, E Rafiei-Sardooi… - Sustainability, 2021 - mdpi.com
Gully erosion susceptibility mapping is an essential land management tool to reduce soil
erosion damages. This study investigates gully susceptibility based on multiple diagnostic …

Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

A Azareh, O Rahmati, E Rafiei-Sardooi… - Science of the Total …, 2019 - Elsevier
Gully erosion susceptibility mapping is a fundamental tool for land-use planning aimed at
mitigating land degradation. However, the capabilities of some state-of-the-art data-mining …

GIS-based gully erosion susceptibility mapping: a comparison of computational ensemble data mining models

VH Nhu, S Janizadeh, M Avand, W Chen, M Farzin… - Applied Sciences, 2020 - mdpi.com
Gully erosion destroys agricultural and domestic grazing land in many countries, especially
those with arid and semi-arid climates and easily eroded rocks and soils. It also generates …

[HTML][HTML] Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process

HR Pourghasemi, N Sadhasivam, N Kariminejad… - Geoscience …, 2020 - Elsevier
This investigation assessed the efficacy of 10 widely used machine learning algorithms
(MLA) comprising the least absolute shrinkage and selection operator (LASSO), generalized …