Potential applications of geostationary ocean color imagery for physical-biological interactions

Young-Heon Jo; Xiao-Hai Yan; Feili Li

doi:10.1117/12.869097

28 October 2010 Potential applications of geostationary ocean color imagery for physical-biological interactions

Young-Heon Jo, Xiao-Hai Yan, Feili Li

Proceedings Volume 7861, Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications; 78610C (2010) https://doi.org/10.1117/12.869097
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

Abstract

Since Geostationary Ocean Color Imager (GOCI) data are not available yet, we used daily MODIS Chlorophyll a (Chla) data to illustrate how GOCI data can be used for physical and biological interaction research. For physical features, we used the daily New Generation Sea Surface Temperature (NGSST) for the Yellow Sea, the South Sea, and the East Sea from January 2005 to December 2009. Since the cloud contamination in ocean color observations are always programmatic, analyzing physical and biological interactions have been limited. In order to examine whether we can use NGSST for Chla using a linear regression, we investigated their relations to obtain cloud free Chla. The results show that the ES and the SS have relatively small root mean error (RMSE) than that in the YS. In addition to time series of two different observations, we applied empirical Mode Decomposition (EMD) to extract different spatial features from both Chla and SST imagery. We selected off the west coast of the ES for a jet like feature on August 13, 2007. The Chla meandering features were different from previously reported upwelling features in the area. The features seem like to be modulated by waves, which were appeared in SST decomposition modes, i.e., Intrinsic Mode Decomposition (IMF). Although the methods were applied to MODIS observations, which are coarser spatial and temporal resolutions than those of GOCI, these methods will provide better results with GOCI observations because of better resolutions.

Citation Download Citation

Young-Heon Jo, Xiao-Hai Yan, and Feili Li "Potential applications of geostationary ocean color imagery for physical-biological interactions", Proc. SPIE 7861, Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications, 78610C (28 October 2010); https://doi.org/10.1117/12.869097

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