Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

Flash flooding is considered one of the most dynamic natural disasters for which measures need to be taken to minimize economic damages, adverse effects, and consequences by mapping flood susceptibility. Identifying areas prone to flash flooding is a crucial step in flash flood hazard management. In...

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Bibliographic Details
Main Authors: Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, Rabin Chakrabortty, Assefa M. Melesse, Amirhosein Mosavi
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
flash-flood susceptibility
parallel random forest
regularized random forest
extremely randomized trees (ERT)
big data
artificial intelligence
Online Access:https://www.mdpi.com/2072-4292/12/21/3568

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https://www.mdpi.com/2072-4292/12/21/3568

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