Journal ArticleDOI
A novel hybrid artificial intelligence approach for flood susceptibility assessment
Kamran Chapi,Vijay P. Singh,Ataollah Shirzadi,Himan Shahabi,Dieu Tien Bui,Binh Thai Pham,Khabat Khosravi +6 more
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TLDR
Results indicate that the proposed Bagging-LMT model can be used for sustainable management of flood-prone areas and outperformed all state-of-the-art benchmark soft computing models.Abstract:
A new artificial intelligence (AI) model, called Bagging-LMT - a combination of bagging ensemble and Logistic Model Tree (LMT) - is introduced for mapping flood susceptibility. A spatial database was generated for the Haraz watershed, northern Iran, that included a flood inventory map and eleven flood conditioning factors based on the Information Gain Ratio (IGR). The model was evaluated using precision, sensitivity, specificity, accuracy, Root Mean Square Error, Mean Absolute Error, Kappa and area under the receiver operating characteristic curve criteria. The model was also compared with four state-of-the-art benchmark soft computing models, including LMT, logistic regression, Bayesian logistic regression, and random forest. Results revealed that the proposed model outperformed all these models and indicate that the proposed model can be used for sustainable management of flood-prone areas.read more
Citations
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Journal ArticleDOI
Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry
Santiago Zazo,Pablo Rodríguez-Gonzálvez,José-Luis Molina,Diego González-Aguilera,Carlos Andrés Agudelo-Ruiz,David Hernández-López +5 more
TL;DR: The suitability of new geomatic solutions are reinforced as a reliable-competitive source of accurate DTMs at the service of a flood hazard assessment through hydraulic models supported by geometric models that are obtained from a joint strategy based on Structure from Motion and Cloth Simulation Filtering algorithms.
Journal ArticleDOI
Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models
Ayub Mohammadi,Khalil Valizadeh Kamran,Sadra Karimzadeh,Sadra Karimzadeh,Himan Shahabi,Nadhir Al-Ansari +5 more
TL;DR: This study detected flood locations and mapped areas susceptible to floods using time series satellite data analysis as well as a new model of bagging ensemble-based alternating decision trees, namely, bag-ADTree, using Sentinel-1 data for flood detection and time series analysis.
Journal ArticleDOI
Flash-flood propagation susceptibility estimation using weights of evidence and their novel ensembles with multicriteria decision making and machine learning
Romulus Costache,Quoc Bao Pham,Alireza Arabameri,Daniel Constantin Diaconu,Iulia Costache,Anca Crăciun,Nicu Ciobotaru,Manish Pandey,Aman Arora,Sk Ajim Ali,Binh Thai Pham,Hoang Nguyen,Hoang Anh Tuan,Mohammadtaghi Avand +13 more
TL;DR: In this article, a new flash-flood propagation susceptibility index (FFPSI) was proposed and enriched the specialized literature by proposing and calculating a new Flash-Flood Potential Index (F...
Journal ArticleDOI
Automatic flood detection using sentinel-1 images on the google earth engine
TL;DR: There was high variability of the inundated area; however, the presented threshold correctly represented the variation of the flood and confirmed the applicability of the Otsu automatic thresholding method in flood mapping.
Journal ArticleDOI
GIS-based statistical model for the prediction of flood hazard susceptibility
Sadhan Malik,Subodh Chandra Pal,Alireza Arabameri,Indrajit Chowdhuri,Asish Saha,Rabin Chakrabortty,Paramita Roy,Biswajit Das +7 more
TL;DR: In this paper, flood susceptibility analysis has been done in the Dwarkeswar River basin of Bengal basin, India Fourteen flood causative factors extracted from different datasets like DEM, satellite images, geology, soil and rainfall data have been considered to predict FS Three heuristic models and one statistical model fuzzy logic, frequency ratio (FR), multi-criteria decision analysis (MCDA), and logistic regression (LR) have been used The validating datasets are used to validate these models.
References
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