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Journal of Applied Remote Sensing • Open Access

Hourly turbidity monitoring using Geostationary Ocean Color Imager fluorescence bands
Author(s): Ruhul Amin; Igor Shulman

Paper 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.

Paper Details

Date Published: 4 August 2015
PDF: 10 pages
J. Appl. Remote Sens. 9(1) 096024 doi: 10.1117/1.JRS.9.096024
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Ruhul Amin, BioOptoSense, LLC (United States)
Igor Shulman, U.S. Naval Research Lab. (United States)

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