Development of a Coupled Spatiotemporal Algal Bloom Model for Coastal Areas: A Remote Sensing and Data Mining-Based Approach

Development of a Coupled Spatiotemporal Algal Bloom Model for Coastal Areas: A Remote Sensing and Data Mining-Based Approach

We developed and successfully applied data-driven models that heavily rely on readily available remote sensing datasets to investigate probabilities of algal bloom occurrences in Kuwait Bay. An artificial neural network (ANN) model, a multivariate regression (MR) model, and a spatiotemporal hybrid m...

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Bibliographic Details
Main Authors: Racha Elkadiri, Cameron Manche, Mohamed Sultan, Ahmad Al-Dousari, Saif Uddin, Kyle Chouinard, Abotalib Z. Abotalib
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Coupled spatiotemporal algal bloom model
data mining
Kuwait bay
neural networks
remote sensing
Online Access:https://ieeexplore.ieee.org/document/7479447/

Internet

https://ieeexplore.ieee.org/document/7479447/

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