Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters

Aurin, Dirk; Dierssen, Heidi M.

doi:10.1016/j.rse.2012.07.001

Cited by 75 publications

(64 citation statements)

References 65 publications

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“…The standard chlorophyll a (Chl a) algorithm, however, fails in the optically complex coastal waters of WLIS due to rich concentrations of suspended minerals and colored dissolved organic matter (CDOM) (16)(17)(18). These blue-absorbing and scattering constituents can mimic the water color produced by phytoplankton and result in overestimates of their abundance, as shown by the high Chl a estimates throughout the sound (Fig.…”

Section: Significancementioning

confidence: 99%

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Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Dierssen

McManus

Chlus

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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Mesodinium rubrum is a globally distributed nontoxic ciliate that is known to produce intense red-colored blooms using enslaved chloroplasts from its algal prey. Although frequent enough to have been observed by Darwin, blooms of M. rubrum are notoriously difficult to quantify because M. rubrum can aggregate into massive clouds of rusty-red water in a very short time due to its high growth rates and rapid swimming behavior and can disaggregate just as quickly by vertical or horizontal dispersion. A September 2012 hyperspectral image from the Hyperspectral Imager for the Coastal Ocean sensor aboard the International Space Station captured a dense red tide of M. rubrum (10 6 cells per liter) in surface waters of western Long Island Sound. Genetic data confirmed the identity of the chloroplast as a cryptophyte that was actively photosynthesizing. Microscopy indicated extremely high abundance of its yellow fluorescing signature pigment phycoerythrin. Spectral absorption and fluorescence features were related to ancillary photosynthetic pigments unique to this organism that cannot be observed with traditional satellites. Cell abundance was estimated at a resolution of 100 m using an algorithm based on the distinctive yellow fluorescence of phycoerythrin. Future development of hyperspectral satellites will allow for better enumeration of bloomforming coastal plankton, the associated physical mechanisms, and contributions to marine productivity.

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Section: Significancementioning

confidence: 99%

“…2A). Tuned to open ocean conditions (16), the limited spectral information prevents differentiation of an M. rubrum bloom from other types of phytoplankton known to occur in this region (e.g., diatoms, dinoflagellates) (17).…”

Section: Significancementioning

confidence: 99%

Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Dierssen

McManus

Chlus

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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“…Multiple studies have found that the Y value did not influence the semi-analytical algorithm [9,[36][37][38]. However, most of these conclusions were derived from the coastal waters.…”

Section: Discussionmentioning

confidence: 99%

“…The Y function with reflectance data and empirical parameters has been previously specified [37]. It has been reported that the Y value could have substantial variation with respect to the composition and size of particulate matter [36]. Moreover, the Y value was necessary for identifying the sensitivity of the semi-analytical algorithm results in the inland water [9].…”

Section: Discussionmentioning

confidence: 99%

Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea

et al. 2017

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Several semi-analytical algorithms have been developed to estimate the chlorophyll-a (Chl-a) and phycocyanin (PC) concentrations in inland waters. This study aimed at identifying the influence of algorithm parameters on the output variables and searching optimal parameter values. The optimal parameters of seven semi-analytical algorithms were applied to estimate the Chl-a and PC concentrations. The absorption coefficient measurements were coupled with pigment measurements to calibrate the algorithm parameters. For sensitivity analysis, the elementary effect test was conducted to analyze the influence of the algorithm parameters. The sensitivity analysis results showed that the parameters in the Y function and specific absorption coefficient were the most sensitive parameters. Then, the parameters were optimized via a single-objective optimization that involved one objective function being minimized and a multi-objective optimization that contained more than one objective function. The single-objective optimization led to substantial errors in absorption coefficients. In contrast, the multi-objective optimization improved the algorithm performance with respect to both the absorption coefficient estimates and pigment concentration estimates. The optimized parameters of the absorption coefficient reflected the high-particulate content in waters of the Baekje reservoir using an infrared backscattering wavelength and relatively high value of Y. Moreover, the results indicate the value of measuring the site-specific absorption if site-specific optimization of semi-analyical algorithm parameters was envisioned.

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“…However, when AOD increases, the fraction of water-leaving radiance in the TOA signal reduces significantly, and accurate separation of its weak contribution in the multiple-scattering regime becomes more difficult. The presence of dust aerosols further complicates the retrievals as the aerosols and CDOM share a similar shape of absorption spectra, namely, increasing absorption at shorter wavelengths (Aurin and Dierssen, 2012;Bergstrom et al, 2007). is used.…”

Section: Influence Of Aerosol Loading and Absorption On Nlw Retrievalmentioning

confidence: 99%

Joint retrieval of aerosol and water-leaving radiance from multispectral, multiangular and polarimetric measurements over ocean

Dubovik

Zhai

et al. 2016

Atmos. Meas. Tech.

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Abstract. An optimization approach has been developed for simultaneous retrieval of aerosol properties and normalized water-leaving radiance (nLw) from multispectral, multiangular, and polarimetric observations over ocean. The main features of the method are (1) use of a simplified bio-optical model to estimate nLw, followed by an empirical refinement within a specified range to improve its accuracy; (2) improved algorithm convergence and stability by applying constraints on the spatial smoothness of aerosol loading and Chlorophyll a (Chl a) concentration across neighboring image patches and spectral constraints on aerosol optical properties and nLw across relevant bands; and (3) enhanced Jacobian calculation by modeling and storing the radiative transfer (RT) in aerosol/Rayleigh mixed layer, pure Rayleighscattering layers, and ocean medium separately, then coupling them to calculate the field at the sensor. This approach avoids unnecessary and time-consuming recalculations of RT in unperturbed layers in Jacobian evaluations. The Markov chain method is used to model RT in the aerosol/Rayleigh mixed layer and the doubling method is used for the uniform layers of the atmosphere-ocean system. Our optimization approach has been tested using radiance and polarization measurements acquired by the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) over the AERONET USC_SeaPRISM ocean site (6 February 2013) and near the AERONET La Jolla site (14 January 2013), which, respectively, reported relatively high and low aerosol loadings. Validation of the results is achieved through comparisons to AERONET aerosol and ocean color products. For comparison, the USC_SeaPRISM retrieval is also performed by use of the Generalized Retrieval of Aerosol and Surface Properties algorithm (Dubovik et al., 2011). Uncertainties of aerosol and nLw retrievals due to random and systematic instrument errors are analyzed by truth-in/truth-out tests with three Chl a concentrations, five aerosol loadings, three different types of aerosols, and nine combinations of solar incidence and viewing geometries.

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Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters

Cited by 75 publications

References 65 publications

Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea

Joint retrieval of aerosol and water-leaving radiance from multispectral, multiangular and polarimetric measurements over ocean

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