Bidirectional reflectance function for oceanic waters with varying chlorophyll
concentrations: Measurements versus predictions

Voss, Kenneth J.; Morel, A.

doi:10.4319/lo.2005.50.2.0698

Cited by 39 publications

(19 citation statements)

References 19 publications

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“…However, we did not have [Chl] values approaching 10 mg m −3 , thus did not see the Table 1. RMS difference between Q n (sr) model (Morel et al, 2002) (Voss and Morel, 2005). Zibordi and Berthon (2001) have described an additional model for Q nadir based on data obtained in the Adriatic Sea, however this water type was significantly different than our data base, hence did not agree very well with our data and is not shown.…”

Section: Resultscontrasting

confidence: 56%

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Detailed validation of the bidirectional effect in various Case 1 waters for application to ocean color imagery

2007

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Abstract. The radiance viewed from the ocean depends on the illumination and viewing geometry along with the water properties, and this variation is called the bidirectional effect. This bidirectional effect depends on the inherent optical properties of the water, including the volume scattering function, and is important when comparing data from different satellite sensors. The current model of f/Q, which contains the bidirectional effect, by Morel et al. (2002) depends on modeled, not measured, water parameters, thus must be carefully validated. In this paper we combined upwelling radiance distribution data from several cruises, in varied water types and with a wide range of solar zenith angles. We compared modeled and measured L view /L nadir and found that the average difference between the model and data was less than 0.01, while the RMS difference between the model and data was on the order of 0.02-0.03. This is well within the statistical noise of the data, which was on the order of 0.04-0.05, due to environmental noise sources such as wave focusing.

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Section: Resultscontrasting

confidence: 56%

“…In the past we have had two investigations looking at the accuracy of the series of Q values as predicted by models (Morel et al, 1995;Voss and Morel, 2005). Each of these was done with a different version of our radiance distribution camera systems (RADS: Voss, 1989; RADS-II, Voss and Chapin, 1992).…”

Section: Introductionmentioning

confidence: 99%

Detailed validation of the bidirectional effect in various Case 1 waters for application to ocean color imagery

2007

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“…The light distribution in aquatic environments has been well studied in the past [16,17]; however, to give the reader a better understanding of the consequences of this study, the hemispherical reflectance distributions for a few solar zenith angles (θ s ) are shown in Fig. 3.…”

Section: B Forward Modelingmentioning

confidence: 99%

Diurnal remote sensing of coastal/oceanic waters: a radiometric analysis for Geostationary Coastal and Air Pollution Events

Pahlevan

Lee

et al. 2014

Appl. Opt.

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Optical remote sensing systems aboard geostationary platforms can provide high-frequency observations of bio-optical properties in dynamical coastal/oceanic waters. From the end-user standpoint, it is recognized that the fidelity of daily science products relies heavily on the radiometric sensitivity/performance of the imaging system. This study aims to determine the theoretical detection limits for bio-optical properties observed diurnally from a geostationary orbit. The analysis is based upon coupled radiative transfer simulations and the minimum radiometric requirements defined for the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) mission. The diurnal detection limits are found for the optically active constituents of water, including near-surface concentrations of chlorophyll-a (CHL) and total suspended solids (TSS), and the absorption of colored dissolved organic matter (aCDOM). The diurnal top-of-atmosphere radiance (Lt) is modeled for several locations across the field of regard (FOR) to investigate the radiometric sensitivity at different imaging geometries. It is found that, in oceanic waters (CHL=0.07 mg/m3), detecting changes smaller than 0.01 mg/m3 in CHL is feasible for all locations and hours except for late afternoon observations on the edge of the FOR. For more trophic/turbid waters (0.6

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“…These calculations assume the transmission of light along a vertical path through the ocean and the ocean surface, providing the spectral radiance for a nadir-viewing instrument immediately above the ocean surface. In practice, these calculations are complicated by the angular dependence of the upwelling radiance [10,11], the angular dependence of the water-leaving radiance, and the Fresnel transmittance. For MOBY measurements, the propagation of light to the surface is made from the topmost arm of the buoy (z 1 =1 m).…”

Section: The Measurement Equation [7]mentioning

confidence: 99%

The marine optical buoy (MOBY) radiometric calibration and uncertainty budget for ocean color satellite sensor vicarious calibration

et al. 2007

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For the past decade, the Marine Optical Buoy (MOBY), an autonomous radiometric buoy stationed in the waters off Lanai, Hawaii, has been the primary in-water oceanic observatory for the vicarious calibration of U. S. satellite ocean color sensors, including the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and the Moderate Resolution Imaging Spectrometer (MODIS) instruments on the National Aeronautics and Space Administration's (NASA's) Terra and Aqua satellites. The MOBY vicarious calibration of these sensors supports international efforts to develop a global, multi-year time series of consistently calibrated ocean color data products. A critical component of the MOBY program is establishing radiometric traceability to the International System of Units (SI) through standards provided by the U. S. National Institute of Standards and Technology (NIST). A detailed uncertainty budget is a core component of traceable metrology. We present the MOBY uncertainty budget for up-welling radiance and discuss approaches in new instrumentation to reduce the uncertainties in in situ water-leaving radiance measurements.

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Bidirectional reflectance function for oceanic waters with varying chlorophyll concentrations: Measurements versus predictions

Cited by 39 publications

References 19 publications

Detailed validation of the bidirectional effect in various Case 1 waters for application to ocean color imagery

Detailed validation of the bidirectional effect in various Case 1 waters for application to ocean color imagery

Diurnal remote sensing of coastal/oceanic waters: a radiometric analysis for Geostationary Coastal and Air Pollution Events

The marine optical buoy (MOBY) radiometric calibration and uncertainty budget for ocean color satellite sensor vicarious calibration

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