Abstract
This study discusses the fusion of chlorophyll-a (Chl.a) estimates around Tachibana Bay (Nagasaki Prefecture, Japan) obtained from MODIS and GOCI satellite data. First, the equation of GOCI LCI was theoretically calculated on the basis of the linear combination index (LCI) method proposed by Frouin et al. (2006). Next, assuming a linear relationship between them, the MODIS LCI and GOCI LCI methods were compared by using the Rayleigh reflectance product dataset of GOCI and MODIS, collected on July 8, July 25, and July 31, 2012. The results were found to be correlated significantly. GOCI Chl.a estimates of the finally proposed method favorably agreed with the in-situ Chl.a data in Tachibana Bay.
Highlights
In recent years, harmful red tidal has occurred around the Tachibana Bay, Nagasaki Prefecture, Japan [1,2]
Geostationary Ocean Color Imager (GOCI) Level 1B and Moderateresolution Imaging Spectroradiometer (MODIS) linear combination index (LCI) data were acquired from the Korea Ocean Satellite Center (KOSC) and JAXA near real time (NRT) websites
This study has established a technique for converting MODIS to GOCI LCI
Summary
Harmful red tidal has occurred around the Tachibana Bay, Nagasaki Prefecture, Japan [1,2]. Since predictions of these blooms can reduce damage to fisheries, the monitoring of chlorophyll-a (Chl.a) concentration in the area is an important priority. The world’s first geostationary satellite ocean color sensor “GOCI”, launched on June 27, 2010 from South Korea, has an hourly repeat cycle and 500 m spatial resolution. Such performance is very suitable for monitoring the red tide distribution.
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