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Remote Sens. 2016, 8(2), 147;

Diurnal Variability of Turbidity Fronts Observed by Geostationary Satellite Ocean Color Remote Sensing

State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 36 North Bao-Chu Road, Hangzhou 310012, China
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 164 Xingangxi Road, Haizhu District, Guangzhou 510301, China
University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
Author to whom correspondence should be addressed.
Academic Editors: Richard L. Miller, Cheng-Chien Liu, Xiaofeng Li and Prasad S. Thenkabail
Received: 18 November 2015 / Revised: 23 January 2016 / Accepted: 4 February 2016 / Published: 16 February 2016
(This article belongs to the Special Issue Remote Sensing of Biogeochemical Cycles)
Full-Text   |   PDF [12352 KB, uploaded 16 February 2016]   |  


Monitoring front dynamics is essential for studying the ocean’s physical and biogeochemical processes. However, the diurnal displacement of fronts remains unclear because of limited in situ observations. Using the hourly satellite imageries from the Geostationary Ocean Color Imager (GOCI) with a spatial resolution of 500 m, we investigated the diurnal displacement of turbidity fronts in both the northern Jiangsu shoal water (NJSW) and the southwestern Korean coastal water (SKCW) in the Yellow Sea (YS). The hourly turbidity fronts were retrieved from the GOCI-derived total suspended matter using the entropy-based algorithm. The results showed that the entropy-based algorithm could provide fine structure and clearly temporal evolution of turbidity fronts. Moreover, the diurnal displacement of turbidity fronts in NJSW can be up to 10.3 km in response to the onshore-offshore movements of tidal currents, much larger than it is in SKCW (around 4.7 km). The discrepancy between NJSW and SKCW are mainly caused by tidal current direction relative to the coastlines. Our results revealed the significant diurnal displacement of turbidity fronts, and highlighted the feasibility of using geostationary ocean color remote sensing technique to monitor the short-term frontal variability, which may contribute to understanding of the sediment dynamics and the coupling physical-biogeochemical processes. View Full-Text
Keywords: GOCI; turbidity front; entropy-based algorithm; sea surface currents GOCI; turbidity front; entropy-based algorithm; sea surface currents

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Hu, Z.; Pan, D.; He, X.; Bai, Y. Diurnal Variability of Turbidity Fronts Observed by Geostationary Satellite Ocean Color Remote Sensing. Remote Sens. 2016, 8, 147.

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