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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Detalles Bibliográficos

Principais autores:	Racha Elkadiri, Cameron Manche, Mohamed Sultan, Ahmad Al-Dousari, Saif Uddin, Kyle Chouinard, Abotalib Z. Abotalib
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2016-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Coupled spatiotemporal algal bloom model data mining Kuwait bay neural networks remote sensing
Acceso en liña:	https://ieeexplore.ieee.org/document/7479447/
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