Amin, Ruhul; Shulman, Igor (2015). Hourly turbidity monitoring using Geostationary Ocean Color Imager fluorescence bands. JOURNAL OF APPLIED REMOTE SENSING, 9, 96024.

Abstract
The Geostationary Ocean Color imager (GOCI) is the first geostationary ocean color satellite sensor that collects hourly images eight times per day during daylight. This high frequency image acquisition makes it possible to study more detailed dynamics of red tide blooms, sediment plumes, and colored dissolved organic matter plumes, and can aid in the prediction of biophysical phenomena. We apply the red band difference and the fluorescence line height algorithms to GOCI imagery to separate waters with high algal and nonalgal particles and validate the results with the MODIS imagery. We also track optical features using hourly GOCI imagery and assess their movement through comparisons with predicted ocean currents derived from the navy coastal ocean model and tidal data. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.

DOI:
10.1117/1.JRS.9.096024

ISSN:
1931-3195