Introduction to practical application and service systems of multi-satellite data including Geostationary Ocean Color Imager to maritime issues

We are conducting a research project to develop algorithms to derive information on maritime issues based on images from Geostationary Ocean Color Imager (GOCI), GOCI-II and many others satellite sensors. We are aiming for several practical application areas which are to detect floating macroalgae, marine fog, harmful algal blooms, fine aerosol particles, low sea surface salinity water, to detect and forecast abnormal sea surface temperature, and to derive ocean water quality parameters and primary production. We are also focusing on candidates to discover new practical techniques using machine learning. These practical techniques are integrated into a maritime issue service system which consists of a data collection and processing system and a web-based data display and analysis system. A scheduler was configured for the automation of the data collection and processing system, and a detailed design was carried out. A system prototype based on open-source GIS service was developed. We will verify the performance of the techniques by comparing the results with high-resolution satellite data or reliable in-situ data.