Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data

Red tide causes significant damage to marine resources such as aquaculture and fisheries in coastal regions. Such red events occur globally, across latitudes ocean ecoregions. Satellite observations can be an effective tool for tracking investigating tides have great potential informing strategies minimize their impacts on fisheries. However, previous satellite-based detection algorithms been mostly conducted over short time scales within relatively small areas, shown differences from actual field data, highlighting a need new, more accurate developed. In this study, we present the newly developed normalized index (NRTI). The NRTI uses Geostationary Ocean Color Imager (GOCI) data detect by observing situ spectral characteristics of sea water using spectroradiometer region Korean Peninsula during severe events. bimodality peaks reflectance with respect wavelengths has become basis developing NRTI, multiplying heights both peaks. Based high correlation between density, propose estimation formulation calculate density GOCI data. methodology study is anticipated applicable other color satellite regions around world, thereby increasing capacity quantify track at large spatial real time.