J.-H. Ryu, H.-J. Han, S. Cho, Y.-J. Park and Y.-H. Ahn, “Overview of Geostationary Ocean Color Imager (GOCI) and GOCI Data Processing System (GDPS),” Ocean Science Journal, Vol. 47, No. 3, 2012, pp. 223-233.

has been cited by the following article:

• TITLE: Chlorophyll-a Estimation in Tachibana Bay by Data Fusion of GOCI and MODIS Using Linear Combination Index Algorithm

  AUTHORS: Yuji Sakuno, Keita Makio, Kazuhiko Koike, Maung-Saw-Htoo-Thaw  , Shigeru Kitahara

  KEYWORDS: Chlorophyll-a; LCI Algorithm; GOCI; MODIS; Data Fusion

  JOURNAL NAME: Advances in Remote Sensing, Vol.2 No.4, December 5, 2013

  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.