Gully Erosion Susceptibility Mapping and Prioritization of Gully-Dominant Sub-Watersheds using Machine Learning Algorithms: Evidence from the Silabati River (tropical river, India)

Characterizing recurrent flood hazards in the Himalayan foothill region through data-driven modelling

(2023) Md Hasanuzzaman et al.   ADVANCES IN SPACE RESEARCH

Landslide Susceptibility mapping using random forest and extreme gradient boosting: A case study of Fengjie, Chongqing

(2023) Wengang Zhang et al.   GEOLOGICAL JOURNAL

Random Forest–based gully erosion susceptibility assessment across different agro-ecologies of the Upper Blue Nile basin, Ethiopia

(2023) Tadesual Asamin Setargie et al.   GEOMORPHOLOGY

Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia

(2023) Sujung Heo et al.   Scientific Reports

Predicting soil erosion susceptibility associated with climate change scenarios in the Central Highlands of Sri Lanka

(2022) Sumudu Senanayake et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Application of Tree-Based Ensemble Models to Landslide Susceptibility Mapping: A Comparative Study

(2022) Aihua Wei et al.   Sustainability

Assessment of gully erosion susceptibility using different DEM-derived topographic factors in the black soil region of Northeast China

(2022) Donghao Huang et al.   International Soil and Water Conservation Research

Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility

(2021) Wei Chen et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Estimating environmental vulnerability in the Cerrado with machine learning and Twitter data

(2021) Dong Luo et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

An investigation into longitudinal forms of gullies within the “Grand Canyon” of Bengal, Eastern India

(2021) Priyank Pravin Patel et al.   Transactions in GIS

A comparative assessment of gully erosion spatial predictive modeling using statistical and machine learning models

(2021) Seyed Masoud Soleimanpour et al.   CATENA

Evaluation of different DEMs for gully erosion susceptibility mapping using in-situ field measurement and validation

(2021) Indrajit Chowdhuri et al.   Ecological Informatics

Applying different resampling strategies in machine learning models to predict head-cut gully erosion susceptibility

(2021) Fengjie Wang et al.   Alexandria Engineering Journal

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

(2020) Sunil Saha et al.   SENSORS

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

(2020) Ruhollah Taghizadeh-Mehrjardi et al.   Remote Sensing

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

(2020) Xinxiang Lei et al.   Remote Sensing

Integration of artificial intelligence with Meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin, Eastern India

(2020) Jagabandhu Roy et al.   ADVANCES IN SPACE RESEARCH

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

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

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

Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques

(2019) Alireza Arabameri et al.   CATENA

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

(2019) Avand et al.   Water

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

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

A Modified Change Vector Approach for Quantifying Land Cover Change

(2018) Ru Xu et al.   Remote Sensing

Modelling the spatial variability of wildfire susceptibility in Honduras using remote sensing and geographical information systems

(2017) Miguel Conrado Valdez et al.   Geomatics Natural Hazards & Risk

Quantifying temporal changes in gully erosion areas with object oriented analysis

(2015) Rajesh B.V. Shruthi et al.   CATENA

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

(2015) Mahyat Shafapour Tehrany et al.   CATENA

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

(2015) Haoyuan Hong et al.   CATENA

A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer

(2015) Aytuğ Onan   EXPERT SYSTEMS WITH APPLICATIONS

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Integrating physical and empirical landslide susceptibility models using generalized additive models

(2011) Jason N. Goetz et al.   GEOMORPHOLOGY

A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider

(2009) Govindan Kannan et al.   RESOURCES CONSERVATION AND RECYCLING