Random Forest Classification of Inundation Following Hurricane Florence (2018) via L-Band Synthetic Aperture Radar and Ancillary Datasets

Random Forest Classification of Inundation Following Hurricane Florence (2018) via L-Band Synthetic Aperture Radar and Ancillary Datasets

In response to Hurricane Florence of 2018, NASA JPL collected quad-pol L-band SAR data with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument, observing record-setting river stages across North and South Carolina. Fully-polarized SAR images allow for mapping of inundation e...

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Bibliographic Details
Main Authors: Alexander M. Melancon, Andrew L. Molthan, Robert E. Griffin, John R. Mecikalski, Lori A. Schultz, Jordan R. Bell
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
inundation
random forest
machine learning
Hurricane Florence
Freeman–Durden decomposition
Online Access:https://www.mdpi.com/2072-4292/13/24/5098

Internet

https://www.mdpi.com/2072-4292/13/24/5098

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