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http://dx.doi.org/10.7780/kjrs.2013.29.2.2

Turbid water atmospheric correction for GOCI: Modification of MUMM algorithm  

Lee, Boram (Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology)
Ahn, Jae Hyun (Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology)
Park, Young-Je (Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology)
Kim, Sang-Wan (Geoinformation Engineering, Sejong University)
Publication Information
Korean Journal of Remote Sensing / v.29, no.2, 2013 , pp. 173-182 More about this Journal
Abstract
The early Sea-viewing Wide Field-of-view Sensor(SeaWiFS) atmospheric correction algorithm which is the basis of the atmospheric correction algorithm for Geostationary Ocean Color Imager(GOCI) assumes that water-leaving radiances is negligible at near-infrared(NIR) wavelengths. For this reason, all of the satellite measured radiances at the NIR wavelengths are assigned to aerosol radiances. However that assumption would cause underestimation of water-leaving radiances if it were applied to turbid Case-2 waters. To overcome this problem, Management Unit of the North Sea Mathematical Models(MUMM) atmospheric correction algorithm has been developed for turbid waters. This MUMM algorithm introduces new parameter ${\alpha}$, representing the ratio of water-leaving reflectance at the NIR wavelengths. ${\alpha}$ is calculated by statistical method and is assumed to be constant throughout the study area. Using this algorithm, we can obtain comparatively accurate water-leaving radiances in the moderately turbid waters where the NIR water-leaving reflectance is less than approximately 0.01. However, this algorithm still underestimates the water-leaving radiances at the extremely turbid water since the ratio of water-leaving radiance at two NIR wavelengths, ${\alpha}$ is changed with concentration of suspended particles. In this study, we modified the MUMM algorithm to calculate appropriate value for ${\alpha}$ using an iterative technique. As a result, the accuracy of water-leaving reflectance has been significantly improved. Specifically, the results show that the Root Mean Square Error(RMSE) of the modified MUMM algorithm was 0.002 while that of the MUMM algorithm was 0.0048.
Keywords
Ocean Color; GOCI; Atmospheric correction; MUMM; Turbid waters;
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Times Cited By KSCI : 1  (Citation Analysis)
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