Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility
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Title
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility
Authors
Keywords
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Journal
Remote Sensing
Volume 12, Issue 17, Pages 2833
Publisher
MDPI AG
Online
2020-09-01
DOI
10.3390/rs12172833
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Note: Only part of the references are listed.- A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligence
- (2020) Alireza Arabameri et al. GEOMORPHOLOGY
- Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment
- (2020) Rabin Chakrabortty et al. Journal of the Indian Society of Remote Sensing
- Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
- (2020) Sunil Saha et al. SENSORS
- Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment
- (2020) Alireza Arabameri et al. Remote Sensing
- Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)
- (2020) Alireza Arabameri et al. Remote Sensing
- A Modeling Comparison of Groundwater Potential Mapping in a Mountain Bedrock Aquifer: QUEST, GARP, and RF Models
- (2020) Davoud Davoudi Moghaddam et al. Water
- Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions
- (2020) Guirong Wang et al. ISPRS International Journal of Geo-Information
- Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
- (2020) Hamid Reza Pourghasemi et al. Geoscience Frontiers
- Optimal Input Variables Disposition of Artificial Neural Networks Models for Enhancing Time Series Forecasting Accuracy
- (2020) Hervice Roméo Fogno Fotso et al. APPLIED ARTIFICIAL INTELLIGENCE
- Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
- (2020) Rabin Chakrabortty et al. NATURAL HAZARDS
- Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility
- (2020) Alireza Arabameri et al. Remote Sensing
- Spatial prediction of gully erosion using ALOS PALSAR data and ensemble bivariate and data mining models
- (2019) Alireza Arabameri et al. GEOSCIENCES JOURNAL
- Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models
- (2019) Wei Chen et al. Applied Sciences-Basel
- Spatial modelling of gully headcuts using UAV data and four best-first decision classifier ensembles (BFTree, Bag-BFTree, RS-BFTree, and RF-BFTree)
- (2019) Mohsen Hosseinalizadeh et al. GEOMORPHOLOGY
- Simulating the impact of climate change on soil erosion in sub-tropical monsoon dominated watershed based on RUSLE, SCS runoff and MIROC5 climatic model
- (2019) Subodh Chandra Pal et al. ADVANCES IN SPACE RESEARCH
- 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
- Terrain Analysis Enhancements to the Height Above Nearest Drainage Flood Inundation Mapping Method
- (2019) I. Garousi‐Nejad et al. WATER RESOURCES RESEARCH
- An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping
- (2019) Omid Rahmati et al. Remote Sensing
- Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques
- (2019) Alireza Arabameri et al. CATENA
- 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
- Proposing a Novel Predictive Technique for Gully Erosion Susceptibility Mapping in Arid and Semi-arid Regions (Iran)
- (2019) Arabameri et al. Remote Sensing
- 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
- A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India
- (2019) Jagabandhu Roy et al. Remote Sensing
- Comparison of machine learning models for gully erosion susceptibility mapping
- (2019) Alireza Arabameri et al. Geoscience Frontiers
- Spatial modelling of gully erosion in Mazandaran Province, northern Iran
- (2018) Mohsen Zabihi et al. CATENA
- Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping
- (2018) Younes Garosi et al. GEODERMA
- GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique
- (2018) Alireza Arabameri et al. Environmental Earth Sciences
- Assessment of land cover and land use change impact on soil loss in a tropical catchment by using multitemporal SPOT-5 satellite images and Revised Universal Soil Loss Equation model
- (2018) Haleh Nampak et al. LAND DEGRADATION & DEVELOPMENT
- Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function-logistic regression algorithm
- (2018) Alireza Arabameri et al. LAND DEGRADATION & DEVELOPMENT
- Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms
- (2018) Alireza Arabameri et al. Applied Sciences-Basel
- How can statistical and artificial intelligence approaches predict piping erosion susceptibility?
- (2018) Mohsen Hosseinalizadeh et al. SCIENCE OF THE TOTAL 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
- Applying different scenarios for landslide spatial modeling using computational intelligence methods
- (2017) Alireza Arabameri 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
- Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China
- (2017) Guo-liang Du et al. Journal of Mountain Science
- Slope Processes, Mass Movement and Soil Erosion: A Review
- (2017) Antônio José Teixeira GUERRA et al. PEDOSPHERE
- The contribution of gully erosion to total sediment production in a small watershed in Southwest China
- (2017) Xiyu Zhang et al. PHYSICAL GEOGRAPHY
- Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling
- (2017) Hamid Reza Pourghasemi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework
- (2017) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Evaluation and comparison of LogitBoost Ensemble, Fisher’s Linear Discriminant Analysis, logistic regression and support vector machines methods for landslide susceptibility mapping
- (2017) Binh Thai Pham et al. Geocarto International
- Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
- (2017) Huanhuan Yuan et al. Remote Sensing
- A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea
- (2017) Saro Lee et al. Sustainability
- On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products
- (2017) Kush R. Varshney et al. Big Data
- Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
- (2016) Hamid Reza Pourghasemi et al. Environmental Earth Sciences
- Water erosion susceptibility mapping by applying Stochastic Gradient Treeboost to the Imera Meridionale River Basin (Sicily, Italy)
- (2016) Silvia Eleonora Angileri et al. GEOMORPHOLOGY
- Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison
- (2016) Omid Rahmati et al. NATURAL HAZARDS
- Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods
- (2016) Hamid Reza Pourghasemi et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
- (2015) Alessandro Trigila et al. GEOMORPHOLOGY
- A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping
- (2015) Seyed Amir Naghibi et al. WATER RESOURCES MANAGEMENT
- Derivation of terrain covariates for digital soil mapping in Australia
- (2015) John C. Gallant et al. Soil Research
- Using maximum entropy modeling for landslide susceptibility mapping with multiple geoenvironmental data sets
- (2014) No-Wook Park Environmental Earth Sciences
- Efficacy of neural network and genetic algorithm techniques in simulating spatio-temporal fluctuations of groundwater
- (2014) Madan K. Jha et al. HYDROLOGICAL PROCESSES
- Societal value of soil carbon
- (2014) R. Lal JOURNAL OF SOIL AND WATER CONSERVATION
- Jackknife variance of the partial area under the empirical receiver operating characteristic curve
- (2014) Andriy I Bandos et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
- (2013) Omar F. Althuwaynee et al. CATENA
- A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy
- (2013) Christian Conoscenti et al. Environmental Earth Sciences
- Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy)
- (2013) Christian Conoscenti et al. GEOMORPHOLOGY
- Estimation Model of Soil Freeze-Thaw Erosion in Silingco Watershed Wetland of Northern Tibet
- (2013) Bo Kong et al. TheScientificWorldJOURNAL
- Detecting fingerprints of landslide drivers: A MaxEnt model
- (2013) M. Convertino et al. JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
- Sediment yield from irregularly shaped gullies located on the Fortuna lithologic formation in semi-arid area of Tunisia
- (2012) Mohamed Amine El Maaoui et al. CATENA
- Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China
- (2012) Chong Xu et al. COMPUTERS & GEOSCIENCES
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
- (2012) Biswajeet Pradhan COMPUTERS & GEOSCIENCES
- How can statistical models help to determine driving factors of landslides?
- (2012) Peter Vorpahl et al. ECOLOGICAL MODELLING
- Assessing the susceptibility to water-induced soil erosion using a geomorphological, bivariate statistics-based approach
- (2012) Paolo Magliulo Environmental Earth Sciences
- Application of the topographic position index to heterogeneous landscapes
- (2012) Jeroen De Reu et al. GEOMORPHOLOGY
- Spatial variation of bed roughness in eroding rills and gullies
- (2011) D. Torri et al. CATENA
- Comparison of GIS-based gullying susceptibility mapping using bivariate and multivariate statistics: Northern Calabria, South Italy
- (2011) Federica Lucà et al. GEOMORPHOLOGY
- Height Above the Nearest Drainage – a hydrologically relevant new terrain model
- (2011) A.D. Nobre et al. JOURNAL OF HYDROLOGY
- A statistical explanation of MaxEnt for ecologists
- (2010) Jane Elith et al. DIVERSITY AND DISTRIBUTIONS
- Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy)
- (2010) Massimo Conforti et al. NATURAL HAZARDS
- Gully processes and gully dynamics
- (2009) M. J. Kirkby et al. EARTH SURFACE PROCESSES AND LANDFORMS
- Modelling the occurrence of gullies in rangelands of southwest Spain
- (2009) Álvaro Gómez Gutiérrez et al. EARTH SURFACE PROCESSES AND LANDFORMS
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
- (2009) Steven J. Phillips et al. ECOLOGICAL APPLICATIONS
- Techniques for evaluating the performance of landslide susceptibility models
- (2009) Paolo Frattini et al. ENGINEERING GEOLOGY
- Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
- (2009) Işık Yilmaz Environmental Earth Sciences
- A new approach to estimating hazard posed by debris flows in the Westfjords of Iceland
- (2009) S.J. Conway et al. GEOMORPHOLOGY
- Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy
- (2009) F. Falaschi et al. NATURAL HAZARDS
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- (2008) Steven J. Phillips et al. ECOGRAPHY
- Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
- (2008) X. Yao et al. GEOMORPHOLOGY
- Software reliability prediction by soft computing techniques
- (2007) N. Raj Kiran et al. JOURNAL OF SYSTEMS AND SOFTWARE
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