Development of practical applications for maritime issues using multi-satellite data including Geostationary Ocean Color Imager

Abstract

Our research project aims to develop algorithms that can extract information on maritime issues from image data captured by the Geostationary Ocean Color Imager (GOCI), GOCI-II, and many other satellite sensors. We are exploring eight practical application areas: detection of floating macroalgae, marine fog, harmful algal blooms, fine aerosol particles, low salinity water on the sea surface, forecasting abnormal sea surface temperature, and derivation of ocean water quality parameters and primary production. We have devised a data analysis flow for each practical application and are working on several new practical candidate algorithms. The maritime issues service system is formulated modularly and designed to detect maritime issues and support the establishment of response strategies. This system comprises a system for collecting and processing data and a web-based GIS system for displaying and analyzing data. Evaluation standards have been proposed to perform accuracy evaluations using field data or other satellite data on the produced outputs on maritime issues. It is expected that this output will enable early detection of maritime issues.