해양 프론트 추정을 위한 천리안해양관측위성의 활용

Abstract

The Geostationary Ocean Color Imager (GOCI), the world’s first ocean color sensor operated in the geostationary orbit, can be utilized to analyze subtle changes on the ocean surface because it observes ocean colors around the Northeast Asia hourly, for eight times a day. This study focused on a method estimating ocean fronts using GOCI. We proposed a histogram-based methodology for extracting ocean fronts from hourly observed GOCI images. In order to analyze tidal movements in the coastal region having semi-diurnal tides and extremely high turbidities, Total suspended sediment (TSS)-derived fronts were used. Using TSS-derived fronts, we were able to trace movements of semi-diurnal tides and found out that the fronts are quite relevant to the submarine topography around shallow coasts. In relatively clear water, on the other hand, chlorophyll concentration (chl)-derived fronts were employed. Using chl-derived fronts, we were able to discover dynamic variations and oceanic eddies on sea areas where warm and cold waters are mixed each other.a hourly, for eight times a day. This study focused on a method estimating ocean fronts using GOCI. We proposed a histogram-based methodology for extracting ocean fronts from hourly observed GOCI images. In order to analyze tidal movements in the coastal region having semi-diurnal tides and extremely high turbidities, Total suspended sediment (TSS)-derived fronts were used. Using TSS-derived fronts, we were able to trace movements of semi-diurnal tides and found out that the fronts are quite relevant to the submarine topography around shallow coasts. In relatively clear water, on the other hand, chlorophyll concentration (chl)-derived fronts were employed. Using chl-derived fronts, we were able to discover dynamic variations and oceanic eddies on sea areas where warm and cold waters are mixed each other.