Study on Merging Processing of SSTs System Using Multi-satellite Data

Abstract

This study introduces a system to merge three different Sea Surface Temperature(SST) data obtained from multi-satellite sensors. SST is important variable to understand interaction between the atmosphere and ocean. In this study, merging method is filling-in according to SST accuracies which each satellite has.The sensors that produce merged SST field data are NOAA/AVHRR (National Oceanic and Atmospheric Administration/Advanced Very High Resolution Radiometer), Terra&Aqua/MODIS (Moderate Resolution Imaging Spectroradiometer) and MTSAT-1R (Multi-functional Transport Satellite). Errors, numerical subtractions, between satellite and buoy data were expressed to an error graph.g method is filling-in according to SST accuracies which each satellite has.The sensors that produce merged SST field data are NOAA/AVHRR (National Oceanic and Atmospheric Administration/Advanced Very High Resolution Radiometer), Terra&Aqua/MODIS (Moderate Resolution Imaging Spectroradiometer) and MTSAT-1R (Multi-functional Transport Satellite). Errors, numerical subtractions, between satellite and buoy data were expressed to an error graph.