Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches

Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression

(2023) Soroosh Mehravar et al.   JOURNAL OF HYDROLOGY

Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools

(2023) Kwesi Twum Antwi-Agyakwa et al.   Water

An Overview of Flood Concepts, Challenges, and Future Directions

(2022) Ashok Mishra et al.   JOURNAL OF HYDROLOGIC ENGINEERING

How do multiple kernel functions in machine learning algorithms improve precision in flood probability mapping?

(2022) Muhammad Aslam Baig et al.   NATURAL HAZARDS

Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt

(2022) Ahmed M. Youssef et al.   Geocarto International

Flood exposure and poverty in 188 countries

(2022) Jun Rentschler et al.   Nature Communications

Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam

(2022) Huu Duy Nguyen   Journal of Water and Climate Change

Enhancement of river flooding due to global warming

(2022) Haireti Alifu et al.   Scientific Reports

Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping

(2022) Seyd Teymoor Seydi et al.   Remote Sensing

“Flood risk modeling in southern Bagmati corridor, Nepal” (a study from Sarlahi and Rautahat, Nepal)

(2022) Bitu Babu Shreevastav et al.   Progress in Disaster Science

Multicriterial method of AHP analysis for the identification of coastal vulnerability regarding the rise of sea level: case study in Ilha Grande Bay, Rio de Janeiro, Brazil

(2021) Julia Caon Araujo et al.   Natural Hazards

Evaluation of different precipitation inputs on streamflow simulation in Himalayan River Basin

(2021) Rajesh Khatakho et al.   JOURNAL OF HYDROLOGY

Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms

(2021) Babak Ranjgar et al.   Remote Sensing

Integration of hard and soft supervised machine learning for flood susceptibility mapping

(2021) Soghra Andaryani et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Assessing and mapping multi-hazard risk susceptibility using a machine learning technique

(2020) Hamid Reza Pourghasemi et al.   Scientific Reports

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

Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany

(2020) Lennart Schmidt et al.   WATER RESOURCES RESEARCH

Flood susceptibility assessment based on a novel random Naïve Bayes method: A comparison between different factor discretization methods

(2020) Xianzhe Tang et al.   CATENA

Dynamic flood topographies in the Terai region of Nepal

(2020) E.H. Dingle et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning

(2020) Romulus Costache et al.   JOURNAL OF HYDROLOGY

Flood forecasting based on an artificial neural network scheme

(2020) Francis Yongwa Dtissibe et al.   NATURAL HAZARDS

Development of novel hybridized models for urban flood susceptibility mapping

(2020) Omid Rahmati et al.   Scientific Reports

Cost-benefit analysis of flood early warning system in the Karnali River Basin of Nepal

(2020) Rajesh Kumar Rai et al.   International Journal of Disaster Risk Reduction

Catchment-scale flood hazard mapping and flood vulnerability analysis of residential buildings: The case of Khando River in eastern Nepal

(2020) Saraswati Thapa et al.   Journal of Hydrology-Regional Studies

GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia

(2020) Sk Ajim Ali et al.   ECOLOGICAL INDICATORS

Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

(2020) Swapan Talukdar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Flood susceptibility modelling using advanced ensemble machine learning models

(2020) Abu Reza Md Towfiqul Islam et al.   Geoscience Frontiers

Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran

(2020) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Geomorphological change detection of an urban meander loop caused by an extreme flood using remote sensing and bathymetry measurements (a case study of Karoon River, Iran)

(2020) Saleh Yousefi et al.   JOURNAL OF HYDROLOGY

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

Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model

(2019) Mariana Madruga de Brito et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

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

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

Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar district of West Bengal, India

(2019) Subhankar Chakraborty et al.   NATURAL HAZARDS

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran

(2019) Saeid Janizadeh et al.   Sustainability

Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction

(2019) Hanna Meyer et al.   ECOLOGICAL MODELLING

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

Effects of an extreme flood on river morphology (case study: Karoon River, Iran)

(2018) Saleh Yousefi et al.   GEOMORPHOLOGY

Spatio-temporal variability of extreme precipitation in Nepal

(2018) Rocky Talchabhadel et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

(2018) Hossein Shafizadeh-Moghadam et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Review of flood disaster studies in Nepal: A remote sensing perspective

(2018) Til Prasad Pangali Sharma et al.   International Journal of Disaster Risk Reduction

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques

(2018) Mahyat Shafapour Tehrany et al.   CATENA

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

(2017) Stephen E. Fick et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS

(2017) Hossein Mojaddadi et al.   Geomatics Natural Hazards & Risk

GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques

(2017) Mahyat Shafapour Tehrany et al.   Geomatics Natural Hazards & Risk

Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models

(2016) Khabat Khosravi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique

(2016) Khabat Khosravi et al.   NATURAL HAZARDS

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

(2015) Mahyat Shafapour Tehrany et al.   CATENA

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

Global drivers of future river flood risk

(2015) Hessel C. Winsemius et al.   Nature Climate Change

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

(2014) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

Global flood risk under climate change

(2013) Yukiko Hirabayashi et al.   Nature Climate Change

A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

(2013) Dieu Tien Bui et al.   Geomatics Natural Hazards & Risk