Abstract
Tracking the movement of natural surface features across the time intervals between successive images has gained widespread acceptance for mapping ocean surface currents (OSCs). The 500-m and 1-h spatiotemporal resolutions of the Geostationary Ocean Color Imager (GOCI), launched in 2010, are ideal for observing the dynamics of mesoscale eddies and the diurnal changes dominated by tides. All reported works to date, however, are limited to a few occasions when there were cloudless skies and pixel-level accuracy. As a result, the abundant GOCI hourly data have not been put into an operational service to derive OSCs. This article revisits ocean feature detection and tracking techniques to discuss the development of a satellite image-matching system (SIMS). The results show that a SIMS can detect and track features from two consecutive GOCI images to approximately a 0.25-pixel level of accuracy in the presence of variable gaps due to land and clouds. Suspicious vectors can be ruled out by initially using size-irrelevant filtering and majority filtering methods with minimum preset thresholds. The products of pathlines and streamlines derived from GOCI hourly data make it possible to gain a better understanding of OSCs, both qualitatively and quantitatively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.