Nelvinebi / Chlorophyll-a-Prediction-in-Coastal-Waters-with-Remote-SensingLinks
This project predicts chlorophyll-a concentrations in coastal waters using synthetic remote sensing reflectance data and machine learning models. It simulates environmental monitoring techniques to demonstrate how satellite-like inputs can estimate water quality indicators through regression analysis.
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