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.