Flood-Prone Zones of Meandering Rivers: Machine Learning Approach and Considering the Role of Morphology (Kashkan River, Western Iran)

Flood-Prone Zones of Meandering Rivers: Machine Learning Approach and Considering the Role of Morphology (Kashkan River, Western Iran)

We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index (TWI), and elevation. Our objective was to ide...

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Bibliographic Details
Main Authors: Kaveh Ghahraman, Balázs Nagy, Fatemeh Nooshin Nokhandan
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Geosciences
Subjects:
flood
random forest
SAR imagery
meandering river
topography
morphology
Online Access:https://www.mdpi.com/2076-3263/13/9/267

Internet

https://www.mdpi.com/2076-3263/13/9/267

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