Spatio-Temporal Mapping and Prediction of Red Tides (Harmful Algal Blooms) in the Coastal Areas Using Modis Derived Products
<p id="p1">Harmful Algal Blooms (HABs) occur when toxin-producing algae grow excessively in a water body. It causes harmful effects on marine animals and people who consume seafoods. This study aims to monitor and map algal species and correlate their occurrence with the prevalent changes in the oce...
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| Autores principales: | , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2025
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1211751 |
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| Sumario: | <p id="p1">Harmful Algal Blooms (HABs) occur when toxin-producing algae grow excessively in a water body. It causes harmful effects on marine animals and people who consume seafoods. This study aims to monitor and map algal species and correlate their occurrence with the prevalent changes in the oceanic environment. Ramanathapuram, Tuticorin and 21 coastal island areas in South Tamil Nadu and the Gulf of Mannar have been creamed off their richness of diversity recently in the wake of the HAB wave. The work was carried out with the help of Aqua-MODIS level 2 products, including chlorophyll-a concentration (CC), sea surface temperature (SST), diffuse attenuation coefficient at 490 nm (KD at 490 nm), and fluorescence line height (FLH). Spatio-temporal mapping and prediction of bloom occurrences for the consecutive 5 years (2018–2022) were performed. The prediction model was created in Python using the K-nearest neighbor classifier, and training data were used to train the model. It was validated using the Cyanokhoj website, a product of Google Earth Engine. The results obtained from the model and Cyanokhoj were spatially correlated. The overall accuracy of the prediction model obtained was 81.23%.</p> |
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| ISBN: | 978-1-83634-659-3 |
| DOI: | 10.5772/intechopen.1008555 |