Coastal Monitoring Using Fluorescence Line Height -Based Remote Sensing and Machine Learning: A Seawater-Cooled Facility Case Study
This study presents a unique approach that combines Remote Sensing (RS) technologies and machine learning methods to assess the impact of water-cooled nuclear power plants on marine ecosystems. Normalised fluorescence line height (nFLH), Chlorophyll-a, sea surface temperature (SST) and particulate organic carbon (POC)...