Prediction of algal bloom occurrence based on the naive Bayesian model considering satellite image pixel differences
Bloom occurrence probability prediction is a critical issue for freshwater resource management and protection. As the mechanism of algal blooms is not understood, the construction of prediction model mainly depends on statistical data. Therefore, knowledge on prior bloom occurrence derived from stat...
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Autores principales: | , , , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/6558812c97964613aa85dee33e1d1e7e |
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