Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia

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

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

(2020) Bahareh Kalantar et al.   Remote Sensing

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

(2020) Shahab S. Band et al.   SENSORS

Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data

(2020) Kourosh Ahmadi et al.   Remote Sensing

Flood Hazard Risk Mapping Using a Pseudo Supervised Random Forest

(2020) Morteza Esfandiari et al.   Remote Sensing

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

(2020) Husam.A.H. Al-Najjar et al.   Geoscience Frontiers

Flood Susceptibility Mapping Using GIS-Based Analytic Network Process: A Case Study of Perlis, Malaysia

(2019) Umar Dano et al.   Water

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

An ensemble neural network model for real-time prediction of urban floods

(2019) Simon Berkhahn et al.   JOURNAL OF HYDROLOGY

A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran

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

Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-based FR–RF Integrated Model and Multiresolution DEMs

(2019) Arabameri et al.   Remote Sensing

Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance

(2019) Soyoung Park et al.   Applied Sciences-Basel

Comparison between Different Distributed Methods for Flood Susceptibility Mapping

(2019) Lorena Liuzzo et al.   WATER RESOURCES MANAGEMENT

Big data and natural disasters: New approaches for spatial and temporal massive data analysis

(2019) F. Martínez–Álvarez et al.   COMPUTERS & GEOSCIENCES

Flood Mapping Using Remote Sensing Imagery and Artificial Intelligence Techniques: A Case Study in Brumadinho, Brazil

(2019) Mutiara Syifa et al.   JOURNAL OF COASTAL RESEARCH

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Is local flood hazard assessment in urban areas significantly influenced by the physical complexity of the hydrodynamic inundation model?

(2019) Pierfranco Costabile et al.   JOURNAL OF HYDROLOGY

A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia

(2019) Mahyat Shafapour Tehrany et al.   PeerJ

Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India

(2019) Indrajit Chowdhuri et al.   ADVANCES IN SPACE RESEARCH

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

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping

(2019) Quang-Thanh Bui et al.   JOURNAL OF HYDROLOGY

Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data

(2018) Ruo-Qian Wang et al.   COMPUTERS & GEOSCIENCES

Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis

(2018) Zhongqian Tang et al.   JOURNAL OF HYDROLOGY

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

(2018) Seyed Vahid Razavi Termeh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Integration of Bayesian regulation back-propagation neural network and particle swarm optimization for enhancing sub-pixel mapping of flood inundation in river basins

(2016) Linyi Li et al.   Remote Sensing Letters

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

(2015) Mahyat Shafapour Tehrany et al.   CATENA

Sub-pixel flood inundation mapping from multispectral remotely sensed images based on discrete particle swarm optimization

(2015) Linyi Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Flood hazard risk assessment model based on random forest

(2015) Zhaoli Wang et al.   JOURNAL OF HYDROLOGY

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

(2015) Mahyat Shafapour Tehrany et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

(2011) Masoud Bakhtyari Kia et al.   Environmental Earth Sciences

Advances in Multi-Sensor Data Fusion: Algorithms and Applications

(2009) Jiang Dong et al.   SENSORS