GOCI’s chlorophyll fluorescence sensitivity and algorithm

Abstract

Chlorophyll concentration is an indicator of phytoplankton abundance, thus one of the most important product from ocean colour remote sensing. The classic chlorophyll detection algorithm in ocean color remote sensing is a band ratio technique between the chlorophyll’s absorption band 443nm and non-absorption band 555nm. This method is considered to work well in CASE-I waters, but not in the CASE-II waters, where the ratio is influenced by the presence of colored dissolved organic matter and suspended sediment.Another method is using the sun induced fluorescence signal (680nm) by the chlorophyll pigment. Thefluorescence algorithm should be more accurate theoretically than the band ratio technique in CASE-II waters.Although, in the CASE-I water, the amount of fluorescence signal is not strong enough to detect chlorophyll concentration.GOCI has a band for the fluorescence detection with a high signal-to-noise ratio. However fluorescence signal at 680nm can be contaminated by sensor noise. We analysed the fluorescence based chlorophyll concentrations for case-1 and case-2 waters.hnique between the chlorophyll’s absorption band 443nm and non-absorption band 555nm. This method is considered to work well in CASE-I waters, but not in the CASE-II waters, where the ratio is influenced by the presence of colored dissolved organic matter and suspended sediment.Another method is using the sun induced fluorescence signal (680nm) by the chlorophyll pigment. Thefluorescence algorithm should be more accurate theoretically than the band ratio technique in CASE-II waters.Although, in the CASE-I water, the amount of fluorescence signal is not strong enough to detect chlorophyll concentration.GOCI has a band for the fluorescence detection with a high signal-to-noise ratio. However fluorescence signal at 680nm can be contaminated by sensor noise. We analysed the fluorescence based chlorophyll concentrations for case-1 and case-2 waters.