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Evaluation of SAR and Optical Data for Flood Delineation Using Supervised and Unsupervised Classification

Precise and accurate delineation of flooding areas with synthetic aperture radar (SAR) and multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous as emergent vegetation (EV) and turbid water (TW) are common. We addressed these challenges by developing and applying...

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Principais autores: Fatemeh Foroughnia, Silvia Maria Alfieri, Massimo Menenti, Roderik Lindenbergh
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-08-01
Serier:Remote Sensing
Fag:
SAR
optical
flood mapping
random forest
Otsu thresholding
unsupervised classification
Online adgang:https://www.mdpi.com/2072-4292/14/15/3718
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