Author(s)

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

Fisheries Department of Nagasaki District Office, Nagasaki, Japan.
Graduate School of Biosphere Science, Hiroshima University, Higashi-Hiroshima, Japan.
Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan.

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.

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

Y. Sakuno, K. Makio, K. Koike, M.   and S. Kitahara, "Chlorophyll-a Estimation in Tachibana Bay by Data Fusion of GOCI and MODIS Using Linear Combination Index Algorithm," Advances in Remote Sensing, Vol. 2 No. 4, 2013, pp. 292-296. doi: 10.4236/ars.2013.24032.