Browse > Article
http://dx.doi.org/10.7780/kjrs.2016.32.6.4

Comparison of Algorithms for Sea Surface Current Retrieval using Himawari-8/AHI Data  

Kim, Hee-Ae (Department of Science Education, Seoul National University)
Park, Kyung-Ae (Department of Earth Science Education/Research Institute of Oceanography/ Center for Education Research, Seoul National University)
Park, Ji-Eun (Department of Science Education, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.32, no.6, 2016 , pp. 589-601 More about this Journal
Abstract
Sea surface currents were estimated by applying the Maximum Cross Correlation (MCC), Zero-mean Sum of Absolute Distances (ZSAD), and Zero-mean Sum of Squared Distances (ZSSD) algorithms to Himawari-8/Advanced Himawari Imager (AHI) thermal infrared channel data, and the comparative analysis was performed between the results of these algorithms. The sea surface currents of the Kuroshio Current region that were retrieved using each algorithm showed similar results. The ratio of errors to the total number of estimated surface current vectors had little difference according to the algorithms, and the time required for sea surface current calculation was reduced by 24% and 18%, relative to the MCC algorithm, for the ZSAD and ZSSD algorithms, respectively. The estimated surface currents were validated against those from satellite-tracked surface drifter and altimeter data, and the accuracy evaluation of these algorithms showed results within similar ranges. In addition, the accuracy was affected by the magnitude of brightness temperature gradients and the time interval between satellite image data.
Keywords
sea surface current; Himawari-8/AHI; satellite-tracked surface drifter; altimeter data;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Barton, I.J., 2002. Ocean currents from successive satellite images: The reciprocal filtering technique, Journal of Atmospheric and Oceanic Technology, 19(10): 1644-1689.   DOI
2 Bowen, M., W.J. Emery, J.L. Wilkin, P.C. Tildesley, and I.J. Barton, 2002. Extracting multiyear surface currents from sequential thermal imagery using the maximum cross-correlation technique, Journal of Atmospheric and Oceanic Technology, 19(10): 1665-1676.   DOI
3 Emery, W.J., M.J. Collins, W.R. Crawford, and D.L. Mackas, 1986. An objective method for computing advective surface velocities from sequential infrared satellite images, Journal of Geophysical Research: Oceans, 91(C11): 12865-12878.   DOI
4 Huang, N.E., 1979. On surface drift currents in the ocean, Journal of Fluid Mechanics, 91(1): 191-208.   DOI
5 Kawabe, M., 1995. Variations of current path, velocity, and volume transport of the Kuroshio in relation with the large meander, Journal of physical oceanography, 25(12): 3130-3117.   DOI
6 Kawabe, M., 2005. Variations of the Kuroshio in the southern region of Japan: Conditions for large meander of the Kuroshio, Journal of Oceanography, 61(3): 529-537.   DOI
7 Kim, E., Y.J. Ro, 2000. Improved method for feature tracking method in estimating ocean current vectors from sequential satellite imageries, Korean Journal of Remote Sensing, 16(3): 199-209 (In Korean with English Abstract).   DOI
8 Leese, J.A., C.S. Novak, and B.B. Clark, 1971. An automated technique for obtaining cloud motion from geosynchronous satellite data using cross correlation, Journal of Applied Meteorology, 10(1): 118-132.   DOI
9 Kim, E., Y.J. Ro, and D.C. Jeon, 2010. Application of SeaWiFS chlorophyll-a ocean color image for estimating sea surface currents from Geostationary Ocean Color Imagery (GOCI) data, Korean Journal of Remote Sensing, 26(2): 209-220 (In Korean with English Abstract).   DOI
10 La Violette, P.E., 1984. The advection of submesoscale thermal feature in the Alboran sea gyre, Journal of physical oceanography, 14(3): 550-565.   DOI
11 Manabe, S., 1969. Climate and the ocean circulation 1: I. The atmospheric circulation and the hydrology of the earth's surface, Monthly Weather Review, 97(11): 739-774.   DOI
12 Ninnis, R.M., W.J. Emery, and M.J. Collins, 1986. Automated extraction of pack ice motion from advanced very high resolution radiometer imagery, Journal of Geophysical Research: Oceans, 91(C9): 10725-10734.   DOI
13 Marcello, J., Eugenio, F., and Marques, F, 2007. Performance of region-based matching techniques to compute the ocean surface motion, Proc. of IEEE Transactions on Geoscience and Remote Sensing Symposium, Barcelona, Spain, Jul 23-28, pp. 937-940.
14 Marcello, J., F. Eugenio, F. Marques, F. Hernandez-Guerra, and A. Gasull, 2008. Motion estimation techniques to automatically track oceanographic thermal structures in multisensor image sequences, IEEE Transactions on Geoscience and Remote Sensing, 46(9): 2743-2762.   DOI
15 Matthews, D.K., and W.J. Emery, 2009. Velocity observations of the California Current derived from satellite imagery, Journal of Geophysical Research: Oceans, 114(C8).
16 Tokmakian, R., P.T. Strub, and J. Mclean-Padman, 1990. Evaluation of the maximum crosscorrelation method of estimating sea surface velocities from sequential satellite images, Journal of Atmospheric and Oceanic Technology, 7(6): 852-865.   DOI
17 Wahl, D.D., and J.J. Simpson, 1990. Physical processes affecting the objective determination of nearsurface velocity from satellite data, Journal of Geophysical Research: Oceans, 95(C8): 13511-13528.   DOI