Developing Process Detection of Red Tide Based on Multi-Temporal GOCI Images

Red tide, as one of the major marine disasters in the coastal waters, has a significant temporal and spatial characteristics and pattern. A new understanding of red tides evolution can be used to make early predictions for emergency decision-making of red tides. The geostationary ocean color imager (GOCI) with a high space coverage and temporal resolution can fully meet the monitoring needs of the rapidly changing red tide. In this paper, we analyzed the spectral characteristics of red tide water, high turbid water and clean water based on GOCI imagery and proposed a red tide extraction index R_rcH by combining the fluorescence line height (FLH). The comparison with buoy monitoring data validated the accuracy and reliability of the R_rcH algorithm. The cases show that the formation of the red tides in a highly turbid water environment can be detected and monitored by using GOCI, which is beneficial to disaster prevention and reduction.