Related references
Note: Only part of the references are listed.Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees
Rahebeh Abedi et al.
GEOCARTO INTERNATIONAL (2022)
Application of machine learning algorithms for flood susceptibility assessment and risk management
R. Madhuri et al.
JOURNAL OF WATER AND CLIMATE CHANGE (2021)
Mapping Coastal Flood Susceptible Areas Using Shannon's Entropy Model: The Case of Muscat Governorate, Oman
Hanan Al-Hinai et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)
XGBoost-based method for flash flood risk assessment
Meihong Ma et al.
JOURNAL OF HYDROLOGY (2021)
Modeling flood susceptibility using data-driven approaches of naive Bayes tree, alternating decision tree, and random forest methods
Wei Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
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
Himan Shahabi et al.
REMOTE SENSING (2020)
Prediction of coastal flooding risk under climate change impacts in South Korea using machine learning algorithms
Sang-Jin Park et al.
ENVIRONMENTAL RESEARCH LETTERS (2020)
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
Khabat Khosravi et al.
JOURNAL OF HYDROLOGY (2019)
Functional random forest with applications in dose-response predictions
Raziur Rahman et al.
SCIENTIFIC REPORTS (2019)
Flood susceptibility modeling and hazard perception in Rwanda
Richard Mind'je et al.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2019)
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Yi Wang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)
Flash Flood Risk Analysis Based on Machine Learning Techniques in the Yunnan Province, China
Meihong Ma et al.
REMOTE SENSING (2019)
Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis
Mahfuzur Rahman et al.
EARTH SYSTEMS AND ENVIRONMENT (2019)
Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India
Sk Ajim Ali et al.
MODELING EARTH SYSTEMS AND ENVIRONMENT (2019)
Mapping flood susceptibility in mountainous areas on a national scale in China
Gang Zhao et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
Sunmin Lee et al.
GEOMATICS NATURAL HAZARDS & RISK (2017)
Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran
Omid Rahmati et al.
GEOCARTO INTERNATIONAL (2016)
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
Khabat Khosravi et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2016)
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
Mahyat Shafapour Tehrany et al.
CATENA (2015)
Manifestation of LiDAR-Derived Parameters in the Spatial Prediction of Landslides Using Novel Ensemble Evidential Belief Functions and Support Vector Machine Models in GIS
Mustafa Neamah Jebur et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
Modeling recent climate change induced extreme events in Bangladesh: A review
M. Rehan Dastagir
WEATHER AND CLIMATE EXTREMES (2015)
Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
Amar Deep Regmi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2014)
Landslide susceptibility mapping using geographically-weighted principal component analysis
Hassanali Faraji Sabokbar et al.
GEOMORPHOLOGY (2014)
Flood management and a GIS modelling method to assess flood-hazard areas-a case study
Nektarios N. Kourgialas et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2011)
Flood susceptibility assessment in a highly urbanized alluvial fan: the case study of Sala Consilina (southern Italy)
N. Santangelo et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2011)
Effects of Flood on Agricultural Productivity in Bangladesh
Lopamudra Banerjee
OXFORD DEVELOPMENT STUDIES (2010)
Sustainable Floodplains Through Large-Scale Reconnection to Rivers
Jeffrey J. Opperman et al.
SCIENCE (2009)
Review and comparison of methods to study the contribution of variables in artificial neural network models
M Gevrey et al.
ECOLOGICAL MODELLING (2003)
Random forest: A classification and regression tool for compound classification and QSAR modeling
V Svetnik et al.
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2003)