Red tide monitoring method in coastal waters of Hebei Province based on decision tree classification
- Autores: Rei-Fang Yan, Song Jinling, Bian Mingming, Feng Haipeng, Mohamed Salama
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 1, 2022, págs. 43-60
- Idioma: inglés
- DOI: 10.2478/amns.2022.1.00051
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Resumen
According to the water characteristics of the coastal waters of Hebei Province, this paper selects the data of the MarineEnvironmental Quality Bulletin of Hebei Province from 2009 to 2018 published on the website of the Department ofNatural Resources of Hebei Province, and proposes a red tide monitoring method based on decision tree classification forthe pre-processed MODIS 1B image data. The most important thing in the construction of decision tree is the determinationof threshold, and this process is finally determined according to the value of Entropy. In this paper, the newly constructedred tide monitoring method is used to extract the occurrence area of red tide and count the red tide area. Finally, thedecision tree classification method is compared with other typical red tide monitoring methods. The experimental resultsshow that the red tide occurrence area and statistical area extracted by the red tide monitoring method based on decisiontree classification are closer to the data displayed in the Ocean Bulletin, which demonstrates that this method is suitablefor red tide monitoring in the coastal waters of Hebei Province.
