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http://dx.doi.org/10.7780/kjrs.2015.31.6.2

A Study on Extending Successive Observation Coverage of MODIS Ocean Color Product  

Park, Jeong-Won (Department of Polar Remote Sensing, Korea Polar Research Institute)
Kim, Hyun-Cheol (Department of Polar Remote Sensing, Korea Polar Research Institute)
Park, Kyungseok (Scientific Data Research Center, Korea Institute of Science and Technology Information)
Lee, Sangwhan (Scientific Data Research Center, Korea Institute of Science and Technology Information)
Publication Information
Korean Journal of Remote Sensing / v.31, no.6, 2015 , pp. 513-521 More about this Journal
Abstract
In the processing of ocean color remote sensing data, spatio-temporal binning is crucial for securing effective observation area. The validity determination for given source data refers to the information in Level-2 flag. For minimizing the stray light contamination, NASA OBPG's standard algorithm suggests the use of large filtering window but it results in the loss of effective observation area. This study is aimed for quality improvement of ocean color remote sensing data by recovering/extending the portion of effective observation area. We analyzed the difference between MODIS/Aqua standard and modified product in terms of chlorophyll-a concentration, spatial and temporal coverage. The recovery fractions in Level-2 swath product, Level-3 daily composite product, 8-day composite product, and monthly composite product were $13.2({\pm}5.2)%$, $30.8({\pm}16.3)%$, $15.8({\pm}9.2)%$, and $6.0({\pm}5.6)%$, respectively. The mean difference between chlorophyll-a concentrations of two products was only 0.012%, which is smaller than the nominal precision of the geophysical parameter estimation. Increase in areal coverage also results in the increase in temporal density of multi-temporal dataset, and this processing gain was most effective in 8-day composite data. The proposed method can contribute for the quality enhancement of ocean color remote sensing data by improving not only the data productivity but also statistical stability from increased number of samples.
Keywords
Ocean color; MODIS/Aqua; Stray light; Level-2 flag; Chlorophyll-a;
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  • Reference
1 Baith, K., R. Lindsay, G. Fu, and C.R. McClain, 2001. Data analysis system for ocean-color satellite sensors, EOS Transactions American Geophysical Union, 82(18): 202.
2 Barnes, R.A., W.L. Barnes, W.E. Esaias, and C.R. McClain, 1994: Prelaunch Acceptance Report for the SeaWiFS Radiometer. NASA Tech. Memo. 104566, Vol. 22, S.B. Hooker, E.R. Firestone, and J.G. Acker, Eds., NASA Goddard Space Flight Center, Greenbelt, Maryland, pp.32.
3 Franz, B. and G. Meister, 2005, MODIS/Aqua Straylight Flagging and Masking, retrieved from http://oceancolor.gsfc.nasa.gov/REPROCESSING/Aqua/R1/modisa_repro1_stlight.html.
4 Meister, G., Y. Zong, and C.R. McClain, 2008. Derivation of the MODIS Aqua Point-Spread Function ocean color bands, Proc. of 2008 Earth Observing Systems XIII, San Diego, CA, Aug. pp.70811F-1-70811F-12.
5 NASA OBPG(Ocean Biology Processing Group), 2010, Ocean Level-2 Data Products, retrieved from http://oceancolor.gsfc.nasa.gov/DOCS/ Ocean_Level-2_Data_Products.pdf, Maintained by NASA Ocean Biology Distributed Active Archive Center, Goddard Space Flight Center, Greenbelt MD.
6 Patt, F.S., R.A. Barnes, R.E. Eplee Jr., B.A. Franz, W.D. Robinson, G.C. Feldman, S.W. Bailey, J. Gales, P.J. Werdell, M. Wang, R. Frouin, R.P. Stumph, R.A. Amone, R.W. Gould Jr., P.M. Martinolich, V. Ransibrahmanakul, J.E. O'Reilly, and J.A. Yoder, 2003. Algorithm updates for the fourth SeaWiFS data reprocessing, NASA Tech. Memo. NASA/TM-2003-206892.