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4 August 2015 Hourly turbidity monitoring using Geostationary Ocean Color Imager fluorescence bands
Ruhul Amin, Igor Shulman
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Journal of Applied Remote Sensing, Vol. 9, Issue 1, 096024 (August 2015). https://doi.org/10.1117/1.JRS.9.096024
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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Ruhul Amin and Igor Shulman "Hourly turbidity monitoring using Geostationary Ocean Color Imager fluorescence bands," Journal of Applied Remote Sensing 9(1), 096024 (4 August 2015). https://doi.org/10.1117/1.JRS.9.096024
Published: 4 August 2015
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Cited by 4 scholarly publications.
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KEYWORDS
MODIS
Data modeling
Imaging systems
Sensors
Coastal modeling
Atmospheric corrections
Luminescence
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