The Lucinda Jetty Coastal Observatory's role in satellite ocean colour calibration and validation for Great Barrier Reef coastal waters

Brando, Vittorio E.; Keen, Rex; Daniel, Paul; Baumeister, Adam; Nethery, Matt; Baumeister, Henry; Hawdon, Aaron; Swan, Garry; Mitchell, Rosalind; Campbell, S. K.; Schroeder, Thomas; Park, Young Je; Edwards, Rebecca; Steven, Andy; Allen, Simon; Clementson, Lesley; Dekker, A.G.

doi:10.1109/oceanssyd.2010.5603612

Cited by 5 publications

(7 citation statements)

References 7 publications

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“…The sites represent a rather wide range of water types and trophic conditions but also atmospheric turbidity. In particular: (1) the Zeebrugge site in the North Sea is representative of turbid nearshore waters [40]; (2) the Lucinda site is located in tropical coastal waters in Eastern Australia, dominated by non-algal particulates and CDOM [41,42]; 3 Whenever PRISMA scenes were acquired within ± 1 day of a corresponding Sentinel-2 overpass, the corresponding L1C Multi Spectral imager (MSI) images were downloaded for a direct comparison with PRISMA. Sentinel-2/MSI images were processed in SNAP toolbox (http://step.esa.int/main/) to transform the dimensionless apparent reflectance into physical units of TOA radiances and for spatially resampling the multispectral cube to 30-m pixel size-hence comparable to the PRISMA GSD.…”

Section: Yearsmentioning

confidence: 99%

Section: Yearsmentioning

confidence: 99%

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First Evaluation of PRISMA Level 1 Data for Water Applications

Giardino

Bresciani

Braga

et al. 2020

Sensors

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This study presents a first assessment of the Top-Of-Atmosphere (TOA) radiances measured in the visible and near-infrared (VNIR) wavelengths from PRISMA (PRecursore IperSpettrale della Missione Applicativa), the new hyperspectral satellite sensor of the Italian Space Agency in orbit since March 2019. In particular, the radiometrically calibrated PRISMA Level 1 TOA radiances were compared to the TOA radiances simulated with a radiative transfer code, starting from in situ measurements of water reflectance. In situ data were obtained from a set of fixed position autonomous radiometers covering a wide range of water types, encompassing coastal and inland waters. A total of nine match-ups between PRISMA and in situ measurements distributed from July 2019 to June 2020 were analysed. Recognising the role of Sentinel-2 for inland and coastal waters applications, the TOA radiances measured from concurrent Sentinel-2 observations were added to the comparison. The results overall demonstrated that PRISMA VNIR sensor is providing TOA radiances with the same magnitude and shape of those in situ simulated (spectral angle difference, SA, between 0.80 and 3.39; root mean square difference, RMSD, between 0.98 and 4.76 [mW m−2 sr−1 nm−1]), with slightly larger differences at shorter wavelengths. The PRISMA TOA radiances were also found very similar to Sentinel-2 data (RMSD < 3.78 [mW m−2 sr−1 nm−1]), and encourage a synergic use of both sensors for aquatic applications. Further analyses with a higher number of match-ups between PRISMA, in situ and Sentinel-2 data are however recommended to fully characterize the on-orbit calibration of PRISMA for its exploitation in aquatic ecosystem mapping.

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Section: Yearsmentioning

confidence: 99%

Section: Yearsmentioning

confidence: 99%

First Evaluation of PRISMA Level 1 Data for Water Applications

Giardino

Bresciani

Braga

et al. 2020

Sensors

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“…As a result of these complex water mass and flow patterns, one site at the end of a 5.8 km jetty samples over time a broad range of in-water and atmospheric optical properties and is sufficiently distant from land interference to facilitate good comparison with satellite observations. As a result this site, Lucinda Jetty Coastal Observatory (LJCO), was setup as one of the NASA-AERONET ocean color cal/val stations and is currently the only such site in the Southern Hemisphere (Brando et al, 2010). To improve both our understanding of the cal/val undertaken at LJCO, as well as the processes driving water clarity along the inshore GBR, we undertook this study to quantify the processes driving optical variability at this site.…”

Section: Great Barrier Reefmentioning

confidence: 99%

“…Data presented in this paper were collected at LJCO over 3 years Brando et al, 2010). Lucinda Jetty is located in the GBR region (18.52 • S and 146.39 • E, bottom depth ≈20 m) close to Herbert River mouth and the Hinchinbrook Channel (Figure 1).…”

Section: Study Areamentioning

confidence: 99%

Particulate Backscattering Ratio as an Indicator of Changing Particle Composition in Coastal Waters: Observations From Great Barrier Reef Waters

et al. 2019

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Particle scattering is an important process that determines both the light penetration through the water column and water‐leaving light. Backscattering, in combination with absorption, determines the remote‐sensing reflectance that is used in ocean color algorithms. Additionally, the wavelength dependence of the backscattering ratio can be related to the particle composition in seawater. Here, we examine the magnitude and the spectral behavior of the backscattering ratio against other bio‐optical properties based on a comprehensive set of continuous measurements collected in coastal waters of the Great Barrier Reef over 3 years. The site is located offshore of a major river, and close to the cross‐shelf transition of bottom sediments from terrigenous muds to marine carbonates. The backscattering ratio measured at 650 nm clearly clustered the data into two types. Type 1, which we identified as terrigenous mud with a low organic fraction, is characterized by backscattering ratio below 0.011 with a mean value of 0.005. Type 2, which we identified as marine carbonate with a higher organic fraction, has backscattering ratio above 0.011 with a mean value of 0.02. Within 3 years, study site was exposed to type 1‐dominated particles 13% of the time, and type 2 87%. The observed changes in the backscattering ratio at this one coastal site are as large as the variability seen throughout the global ocean. This work provides a better understanding of processes determining the optical characteristics and insights into optical parameterizations that can be used in process‐based optical modeling of the Great Barrier Reef.

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“…As part of the MMP water quality program, regional algorithms were developed to provide better satellite retrieval of water quality concentrations in the optically complex coastal waters, or case II waters, of the GBR than the "NASA global algorithms" implemented in the SeaWiFS Data Analysis System (SeaDAS [72]) (the NASA's comprehensive image analysis package for the processing, display, analysis, and quality control of ocean colour data [36,37,57,58,60,72]). This work has provided regionally parameterised inversion algorithms, including (i) the artificial neural network atmospheric correction and (ii) the adaptive linear matrix (aLMI) inversion algorithm for deriving chlorophyll-a, TSS, and CDOM [58,72].…”

Section: Water Quality Productsmentioning

confidence: 99%

Water Quality and River Plume Monitoring in the Great Barrier Reef: An Overview of Methods Based on Ocean Colour Satellite Data

et al. 2015

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A strong driver of water quality change in the Great Barrier Reef (GBR) is the pulsed or intermittent nature of terrestrial inputs into the GBR lagoon, including delivery of increased loads of sediments, nutrients, and toxicants via flood river plumes (hereafter river plumes) during the wet season. Cumulative pressures from extreme weather with a high frequency of large scale flooding in recent years has been linked to the large scale reported decline in the health of inshore seagrass systems and coral reefs in the central areas of the GBR, with concerns for the recovery potential of these impacted ecosystems. Management authorities currently rely on remotely-sensed (RS) and in situ data for water quality monitoring to guide their assessment of water quality conditions in the GBR. The use of remotely-sensed satellite products provides a quantitative and accessible tool for scientists and managers. These products, coupled with in situ data, and more recently modelled data, are valuable for quantifying the influence of river plumes on seagrass and coral reef habitat in the GBR. This article reviews recent remote sensing techniques developed to monitor river plumes and water quality in the GBR. We also discuss emerging research that integrates hydrodynamic models with remote sensing and in situ OPEN ACCESS Remote Sens. 2015, 7 12910 data, enabling us to explore impacts of different catchment management strategies on GBR water quality.

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The Lucinda Jetty Coastal Observatory's role in satellite ocean colour calibration and validation for Great Barrier Reef coastal waters

Cited by 5 publications

References 7 publications

First Evaluation of PRISMA Level 1 Data for Water Applications

First Evaluation of PRISMA Level 1 Data for Water Applications

Particulate Backscattering Ratio as an Indicator of Changing Particle Composition in Coastal Waters: Observations From Great Barrier Reef Waters

Water Quality and River Plume Monitoring in the Great Barrier Reef: An Overview of Methods Based on Ocean Colour Satellite Data

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