Study on merging processing of ssts system using multi-satellite data

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 sa...

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Bibliographic Details
Published in2012 Oceans - Yeosu pp. 1 - 3
Main Authors Chan-Su Yang, Eun-Kyung Oh, In-Tai Kim, Hyung-Wook Ahn, Tae-Ho Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
AVHRR
Image resolution
Merging
Merging method
MODIS
MTSAT-1R
Multi-satellite
Ocean temperature
Satellite broadcasting
Satellites
Sea surface
Sea surface temperature
Sensors
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Summary: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.
ISBN:9781457720895
1457720892
DOI:10.1109/OCEANS-Yeosu.2012.6263456