A Remote Sensing and Machine Learning-Based Approach to Forecast the Onset of Harmful Algal Bloom

A Remote Sensing and Machine Learning-Based Approach to Forecast the Onset of Harmful Algal Bloom

In the last few decades, harmful algal blooms (HABs, also known as “red tides”) have become one of the most detrimental natural phenomena in Florida’s coastal areas. <i>Karenia brevis</i> produces toxins that have harmful effects on humans, fisheries, and ecosystems. In this study, we de...

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Bibliographic Details
Main Authors: Moein Izadi, Mohamed Sultan, Racha El Kadiri, Amin Ghannadi, Karem Abdelmohsen
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
harmful algal bloom forecasting
remote sensing
data mining
machine learning
Online Access:https://www.mdpi.com/2072-4292/13/19/3863

Internet

https://www.mdpi.com/2072-4292/13/19/3863

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