GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligence

(2020) Alireza Arabameri et al.   GEOMORPHOLOGY

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater

(2020) Mohammadtaghi Avand et al.   International Journal of Digital Earth

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study

(2020) Alireza Arabameri et al.   SENSORS

Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India

(2020) Sunil Saha et al.   SENSORS

Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

(2020) Himan Shahabi et al.   Remote Sensing

Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment

(2020) Alireza Arabameri et al.   Remote Sensing

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

(2020) Binh Thai Pham et al.   Water

Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping

(2020) Guirong Wang et al.   Symmetry-Basel

Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models

(2020) Wei Chen et al.   Applied Sciences-Basel

Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)

(2020) Tugce Yanar et al.   ISPRS International Journal of Geo-Information

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

(2020) Viet-Ha Nhu et al.   Forests

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

(2020) Viet-Ha Nhu et al.   International Journal of Environmental Research and Public Health

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

(2020) Viet-Ha Nhu et al.   Water

Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling

(2020) Phong Tung Nguyen et al.   Sustainability

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

(2020) Viet-Ha Nhu et al.   Applied Sciences-Basel

Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment

(2020) Viet-Ha Nhu et al.   International Journal of Environmental Research and Public Health

Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation

(2020) Xia Zhao et al.   Remote Sensing

Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis

(2020) Xinxiang Lei et al.   ISPRS International Journal of Geo-Information

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

(2020) Wei Chen et al.   CATENA

Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study

(2019) Hariklia D. Skilodimou et al.   Environmental Earth Sciences

Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms

(2019) Kamal Taheri et al.   LAND DEGRADATION & DEVELOPMENT

Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

(2019) Abolfazl Jaafari et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessment of the importance of gully erosion effective factors using Boruta algorithm and its spatial modeling and mapping using three machine learning algorithms

(2019) Mahdis Amiri et al.   GEODERMA

Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models

(2019) Mohsen Hosseinalizadeh et al.   GEODERMA

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

(2019) Younes Garosi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

(2019) Dieu Tien Bui et al.   SENSORS

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

(2019) Dieu Tien Bui et al.   Remote Sensing

SWPT: An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors

(2019) Omid Rahmati et al.   Geoscience Frontiers

Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

(2019) Ataollah Shirzadi et al.   CATENA

Ionic composition, geological signature and environmental impacts of coalbed methane produced water in China

(2019) Chen Guo et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms

(2019) Amiya Gayen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial Pattern Analysis and Prediction of Gully Erosion Using Novel Hybrid Model of Entropy-Weight of Evidence

(2019) Alireza Arabameri et al.   Water

Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

(2019) Saro Lee et al.   Applied Sciences-Basel

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

(2019) Wei Chen et al.   Applied Sciences-Basel

A new slice-based method for calculating the minimum safe thickness for a filled-type karst cave

(2019) Z. H. Xu et al.   Bulletin of Engineering Geology and the Environment

A deterministic-stochastic identification and modelling method of discrete fracture networks using laser scanning: Development and case study

(2019) Dongdong Pan et al.   ENGINEERING GEOLOGY

Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm

(2019) Yi Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility

(2019) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models

(2019) Romulus Costache et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia

(2019) Hejar Shahabi et al.   SENSORS

An interval risk assessment method and management of water inflow and inrush in course of karst tunnel excavation

(2019) Xintong Wang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping

(2019) Avand et al.   Water

Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling

(2019) Alireza Arabameri et al.   CATENA

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques

(2019) Romulus Costache et al.   Remote Sensing

Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques

(2019) Yang Li et al.   Water

Spatial Prediction of Landslides Using Hybrid Integration of Artificial Intelligence Algorithms with Frequency Ratio and Index of Entropy in Nanzheng County, China

(2019) Wei Chen et al.   Applied Sciences-Basel

GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques

(2019) Xia Zhao et al.   Applied Sciences-Basel

Risk assessment of water inrush in karst tunnels excavation based on normal cloud model

(2018) Xintong Wang et al.   Bulletin of Engineering Geology and the Environment

GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

(2018) Wei Chen et al.   CATENA

Spatial modelling of gully erosion in Mazandaran Province, northern Iran

(2018) Mohsen Zabihi et al.   CATENA

Impact of piping on gully development in mid-altitude mountains under a temperate climate: A dendrogeomorphological approach

(2018) Anita Bernatek-Jakiel et al.   CATENA

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment

(2018) Mousa Abedini et al.   Geocarto International

Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

(2018) Dieu Tien Bui et al.   SENSORS

Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

(2018) Dieu Tien Bui et al.   Scientific Reports

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

(2018) Dieu Tien Bui et al.   Remote Sensing

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

(2018) Dieu Tien Bui et al.   Water

Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran

(2018) Mohsen Alizadeh et al.   Sustainability

Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling

(2018) Wei Chen et al.   Bulletin of Engineering Geology and the Environment

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

(2018) Ali Azareh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Soil resistance to flowing water erosion of seven typical plant communities on steep gully slopes on the Loess Plateau of China

(2018) Bao-jun Zhang et al.   CATENA

A comparative study of landslide susceptibility mapping using weight of evidence, logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring: Zhouqu to Wudu segment in Bailong River Basin, China

(2017) Zhengtuan Xie et al.   Environmental Earth Sciences

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

(2017) Omid Rahmati et al.   GEOMORPHOLOGY

Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques

(2017) Wei Chen et al.   GEOMORPHOLOGY

Cokriging for enhanced spatial interpolation of rainfall in two Australian catchments

(2017) Sajal Kumar Adhikary et al.   HYDROLOGICAL PROCESSES

A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

(2017) Seyed Amir Naghibi et al.   JOURNAL OF HYDROLOGY

Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity

(2017) Christian Conoscenti et al.   LAND DEGRADATION & DEVELOPMENT

Suitability estimation for urban development using multi-hazard assessment map

(2017) George D. Bathrellos et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

(2017) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS

(2017) Seyed Amir Naghibi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

How fast do gully headcuts retreat?

(2016) Matthias Vanmaercke et al.   EARTH-SCIENCE REVIEWS

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

(2016) Hamid Reza Pourghasemi et al.   Environmental Earth Sciences

Degradation of the Mitchell River fluvial megafan by alluvial gully erosion increased by post-European land use change, Queensland, Australia

(2016) J.G. Shellberg et al.   GEOMORPHOLOGY

Timing and causes of gully erosion in the riparian zone of the semi-arid tropical Victoria River, Australia: Management implications

(2016) G.L. McCloskey et al.   GEOMORPHOLOGY

Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

(2016) Dieu Tien Bui et al.   JOURNAL OF HYDROLOGY

Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison

(2016) Omid Rahmati et al.   NATURAL HAZARDS

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations

(2015) Álvaro Gómez-Gutiérrez et al.   NATURAL HAZARDS

An integrated assessment of soil erosion dynamics with special emphasis on gully erosion in the Mazayjan basin, southwestern Iran

(2015) Reza Zakerinejad et al.   NATURAL HAZARDS

Extraction and analysis of gully head of Loess Plateau in China based on digital elevation model

(2014) Hongchun Zhu et al.   Chinese Geographical Science

Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data

(2014) Carlos J. Mantas et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparison among spatial interpolation techniques for daily rainfall data in Sichuan Province, China

(2014) Wenbo Xu et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

(2014) A. Jaafari et al.   International Journal of Environmental Science and Technology

GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)

(2013) H. R. Pourghasemi et al.   Arabian Journal of Geosciences

Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models

(2013) Himan Shahabi et al.   CATENA

Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy)

(2013) Christian Conoscenti et al.   GEOMORPHOLOGY

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

(2013) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

(2012) Mohamad Abd Manap et al.   Arabian Journal of Geosciences

Comparison of GIS-based gullying susceptibility mapping using bivariate and multivariate statistics: Northern Calabria, South Italy

(2011) Federica Lucà et al.   GEOMORPHOLOGY

Robust weighted kernel logistic regression in imbalanced and rare events data

(2010) Maher Maalouf et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Factors controlling the spatial distribution of soil piping erosion on loess-derived soils: A case study from central Belgium

(2010) E. Verachtert et al.   GEOMORPHOLOGY

Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy)

(2010) Massimo Conforti et al.   NATURAL HAZARDS

Effects of fragmentation on vascular plant diversity in a Mediterranean forest archipelago

(2010) L. Rosati et al.   PLANT BIOSYSTEMS

A FILTER-WRAPPER METHOD TO SELECT VARIABLES FOR THE NAIVE BAYES CLASSIFIER BASED ON CREDAL DECISION TREES

(2009) JOAQUÍN ABELLÁN et al.   INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY