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

Cherukuru, Nagur; Ford, Phillip W.; Matear, Richard J.; Oubelkheir, Kadija; Clementson, Lesley; Suber, Ken; Steven, Andrew D. L.

doi:10.1016/j.jag.2016.06.010

Cited by 18 publications

(6 citation statements)

References 18 publications

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“…The resulting correlations were both significant, suggesting that it is possible to estimate the concentration of DOC using satellite-derived aCDOM and equations (3) and (4). The root mean squared (RMS) error between the concentration of DOC estimated using satellite-derived aCDOM and the observed concentration of DOC was 0.13 mg/L (n = 39), comparable to those in previous studies [24][25][26][27], suggesting that the estimation was sufficiently accurate. The concentrations of DON and field-obtained aCDOM were also significant (R 2 = 0.90, n = 39, P < 0.01), suggesting DON concentration could also be estimated using satellite-derived aCDOM using equation (4).…”

Section: Relationship Between Dom and Cdomsupporting

confidence: 74%

Visualization of the Distribution of Dissolved Organic Matter in Osaka Bay Using a Satellite Ocean Color Sensor (COMS/GOCI)

Kobayashi

Nakada

Nakajima

et al. 2017

J. of Wat. & Envir. Tech.

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A study of the use of a visualization technique for the distributions of dissolved organic matter (DOM) in coastal seas was conducted to assist environmental water management. In this study, the absorption coefficient of colored dissolved organic matter (aCDOM) obtained from a satellite equipped with an ocean color sensor as an index for visualizing the DOM distributions. In 2010, the first geostationary satellite having the sensor (COMS/GOCI) was launched, enabling hourly high-resolution data (~500 m) on aCDOM to be obtained. The spatial and temporal resolutions of the data derived from this satellite are the most appropriate for investigating the water quality in coastal seas, which changes dynamically depending on weather conditions. A surface water sampling was undertaken in 2015 in Osaka Bay, Japan. The concentrations of dissolved organic carbon and nitrogen, the main components of DOM, were highly correlated with field-obtained aCDOM, (R 2 = 0.91, 0.90 (n = 39), respectively). The field-obtained aCDOM was significantly correlated with the satellite-derived aCDOM (R 2 = 0.60, (n = 54)). These results indicate the potential to use satellite ocean color sensors (GOCI) to visualize and assess the distribution of DOM in coastal seas at high temporal resolution.Keywords: water environment management, semi-enclosed seas, satellite ocean color sensor, dissolved organic carbon and nitrogen

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Section: Relationship Between Dom and Cdomsupporting

confidence: 74%

Visualization of the Distribution of Dissolved Organic Matter in Osaka Bay Using a Satellite Ocean Color Sensor (COMS/GOCI)

Kobayashi

Nakada

Nakajima

et al. 2017

J. of Wat. & Envir. Tech.

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“…Because there are no long-running time series of DOC measurements in Southeast Asia and most of the peatland-draining rivers are not gauged for water flux measurements, satellite remote sensing of DOC in coastal waters is, at present, the only way to test this hypothesis. Because colored dissolved organic matter (CDOM; the optically active fraction of DOC) absorbs light at ultraviolet and visible wavelengths, ocean color satellites can quantify CDOM and DOC (30)(31)(32) in surface waters. Here, we use satellite ocean color data from July 2002 to June 2021 to quantify and assess long-term trends in CDOM, DOC, and total suspended matter (TSM) of coastal waters in northwestern (NW) Borneo (Fig.…”

Section: Introductionmentioning

confidence: 99%

Rising dissolved organic carbon concentrations in coastal waters of northwestern Borneo related to tropical peatland conversion

et al. 2022

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Southeast Asia’s peatlands are considered a globally important source of terrigenous dissolved organic carbon (DOC) to the ocean. Human disturbance has probably increased peatland DOC fluxes, but the lack of monitoring has precluded a robust demonstration of such a regional-scale impact. Here, we use a time series of satellite ocean color data from northwestern Borneo to show that DOC concentrations in coastal waters have increased between 2002 and 2021 by 0.31 μmol liter −1 year −1 (95% confidence interval, 0.18 to 0.44 μmol liter −1 year −1 ). We show that this was caused by a ≥30% increase in the concentration of terrigenous DOC and coincided with the conversion of 69% of regional peatland area to nonforest land cover, suggesting that peatland conversion has substantially increased DOC fluxes to the sea. This rise in DOC concentration has also increased the underwater light absorption by dissolved organic matter, which may affect marine productivity by altering underwater light availability.

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“…In this study, retrieval of water constituents was established using spectral band ratio combinations, which have proven to be a straightforward yet reliable method for estimating water constituents in optically turbid waters (Ahn and Shanmugam, 2007;Lavigne et al, 2021;Morel and Gentili, 2009;Neil et al, 2019;Siswanto et al, 2011). Band ratio models help to offset signal noise, such as the effects of the atmosphere and irradiance of spectral reflectance, to a certain degree (Cherukuru et al, 2016b;Ha et al, 2017;Hu et al, 2012;Liu et al, 2019).…”

Section: Calibration Of the Empirical Model And Application To Modis ...mentioning

confidence: 99%

“…Ocean colour remote sensing technologies represent an increasingly accessible and powerful tool to provide a synoptic view for short-or long-term water quality studies at high temporal and spatial resolutions (Cherukuru et al, 2016a;Slonecker et al, 2016;Swain and Sahoo, 2017;Wang et al, 2017;Werdell et al, 2018). Remote sensing can help overcome several constraints of conventional intensive field campaigns such as the following: (i) costly field campaigns from boat rentals or cruises; (ii) time-consuming and inadequate labour; and, most importantly for this study, (iii) limited spatial and temporal field coverage.…”

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confidence: 99%

Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis

et al. 2022

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Abstract. High-quality ocean colour observations are increasingly accessible to support various monitoring and research activities for water quality measurements. In this paper, we present a newly developed regional total suspended solids (TSSs) empirical model using MODIS Aqua's Rrs(530) and Rrs(666) reflectance bands to investigate the spatial and temporal variation in TSS dynamics along the southwest coast of Sarawak, Borneo, with the application of the Open Data Cube (ODC) platform. The performance of this TSS retrieval model was evaluated using error metrics (bias = 1.0, MAE = 1.47, and RMSE = 0.22, in milligrams per litre) with a log10 transformation prior to calculation as well as using a k-fold cross-validation technique. The temporally averaged map of the TSS distribution, using daily MODIS Aqua satellite datasets from 2003 until 2019, revealed that large TSS plumes were detected – particularly in the Lupar and Rajang coastal areas – on a yearly basis. The average TSS concentration in these coastal waters was in the range of 15–20 mg L−1. Moreover, the spatial map of the TSS coefficient of variation (CV) indicated strong TSS variability (approximately 90 %) in the Samunsam–Sematan coastal areas, which could potentially impact nearby coral reef habitats in this region. Study of the temporal TSS variation provides further evidence that monsoonal patterns drive the TSS release in these tropical water systems, with distinct and widespread TSS plume variations observed between the northeast and southwest monsoon periods. A map of relative TSS distribution anomalies revealed strong spatial TSS variations in the Samunsam–Sematan coastal areas, while 2010 recorded a major increase (approximately 100 %) and widespread TSS distribution with respect to the long-term mean. Furthermore, study of the contribution of river discharge to the TSS distribution showed a weak correlation across time at both the Lupar and Rajang river mouth points. The variability in the TSS distribution across coastal river points was studied by investigating the variation in the TSS pixels at three transect points, stretching from the river mouth into territorial and open-water zones, for eight main rivers. The results showed a progressively decreasing pattern of nearly 50 % in relation to the distance from shore, with exceptions in the northeast regions of the study area. Essentially, our findings demonstrate that the TSS levels on the southwest coast of Sarawak are within local water quality standards, promoting various marine and socio-economic activities. This study presents the first observation of TSS distributions in Sarawak coastal systems with the application of remote sensing technologies and aims at enhancing coastal sediment management strategies for the sustainable use of coastal waters and their resources.

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

Cited by 18 publications

References 18 publications

Visualization of the Distribution of Dissolved Organic Matter in Osaka Bay Using a Satellite Ocean Color Sensor (COMS/GOCI)

Visualization of the Distribution of Dissolved Organic Matter in Osaka Bay Using a Satellite Ocean Color Sensor (COMS/GOCI)

Rising dissolved organic carbon concentrations in coastal waters of northwestern Borneo related to tropical peatland conversion

Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis

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