eCite Digital Repository

Estimating dissolved organic carbon concentration in turbid coastal waters using optical remote sensing observations


Cherukuru, N and Ford, PW and Matear, RJ and Oubelkheir, K and Clementson, LA and Suber, K and Steven, ADL, Estimating dissolved organic carbon concentration in turbid coastal waters using optical remote sensing observations, International Journal of Applied Earth Observation and Geoinformation, 52 pp. 149-154. ISSN 1569-8432 (2016) [Refereed Article]

Copyright Statement

Copyright 2016 Elsevier B.V.

DOI: doi:10.1016/j.jag.2016.06.010


Dissolved Organic Carbon (DOC) is an important component in the global carbon cycle. It also plays an important role in influencing the coastal ocean biogeochemical (BGC) cycles and light environment. Studies focussing on DOC dynamics in coastal waters are data constrained due to the high costs associated with in situ water sampling campaigns. Satellite optical remote sensing has the potential to provide continuous, cost-effective DOC estimates. In this study we used a bio-optics dataset collected in turbid coastal waters of Moreton Bay (MB), Australia, during 2011 to develop a remote sensing algorithm to estimate DOC. This dataset includes data from flood and non-flood conditions. In MB, DOC concentration varied over a wide range (20520μMC) and had a good correlation (R2 = 0.78) with absorption due to coloured dissolved organic matter (CDOM) and remote sensing reflectance. Using this data set we developed an empirical algorithm to derive DOC concentrations from the ratio of Rrs(412)/Rrs(488) and tested it with independent datasets. In this study, we demonstrate the ability to estimate DOC using remotely sensed optical observations in turbid coastal waters.

Item Details

Item Type:Refereed Article
Keywords:DOC, CDOM, optical remote sensing, coastal water, MODIS
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Chemical oceanography
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Measurement and assessment of marine water quality and condition
UTAS Author:Matear, RJ (Dr Richard Matear)
ID Code:118317
Year Published:2016
Web of Science® Times Cited:11
Deposited By:Directorate
Deposited On:2017-07-10
Last Modified:2018-05-09

Repository Staff Only: item control page