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Coastal waters face growing challenges from population growth, urban expansion, and alterations in hydrologic flows caused by climate change, affecting their quantity and seasonal patterns. Long-term observations of chlorophyll-a in aquatic environments, can show seasonal variability. Remote sensing analysis of chlorophyll-a seasonal variability is a significant approach for understanding the interactive dynamics of climate change, providing information for mitigation methods and trophic state. This study examines long-time series of Surface Reflectance datasets in selected sampling stations at coastal waters, proposes logical corrections after statistical analysis, and evaluates chlorophyll-a seasonal variability. The derived chlorophyll-a bloom phase was consistent with the limited field measurements. In addition, the results indicated that sampling stations of higher depth present better accuracy in evaluating seasonal phytoplankton blooms
Biliani et al. (Mon,) studied this question.
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