OSOAA: a vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean

Chami, Malik; Lafrance, Bruno; Fougnie, Bertrand; Chowdhary, Jacek; Harmel, Tristan; Waquet, Fabien

doi:10.1364/oe.23.027829

Cited by 72 publications

(41 citation statements)

References 49 publications

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“…In this section, the influence of the adjacency effects induced by heterogeneities in the seabed reflectance and by the water column itself on the global subsurface radiance is investigated based on theoretical background (Section 2) and on radiative transfer modeling. The OSOAA radiative transfer model [24] is used to carry out simulations for that purpose. The OSOAA model is able to simulate the flux and the radiance for any observation geometry at any depth within the water column using the optical properties of the hydrosols (e.g., absorption, scattering and backscattering coefficients) as inputs.…”

Section: Estimation Of the Influence Of Adjacency Effects On The Subsmentioning

confidence: 99%

“…Different types of hydrosols such as phytoplankton-like particles (characterized by the chlorophyll a concentration), mineral-like particles (hereafter denoted as "SED"), and colored dissolved organic matter (hereafter denoted CDOM) could be used in the OSOAA model. The reader is referred to Chami et al [24] for more details concerning the description of the OSOAA model.…”

Section: Estimation Of the Influence Of Adjacency Effects On The Subsmentioning

confidence: 99%

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Analysis and quantification of seabed adjacency effects in the subsurface upward radiance in shallow waters

Chami¹,

Lenot²,

Guillaume³

et al. 2019

Opt. Express

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The estimation of the bathymetry and the detection of targets located on the seabed of shallow waters using remote sensing techniques is of great interest for many environmental applications in coastal areas such as benthic habitat mapping, monitoring of seabed aquatic plants and the subsequent management of littoral zones. For that purpose, knowledge of the optical effects induced by the neighborhood of a given seabed target and by the water column itself is required to better interpret the subsurface upward radiance measured by satellite or shipborne radiometers. In this paper, the various sources of photons that contribute to the subsurface upward radiance are analyzed. In particular, the adjacency effects caused by the neighborhood of a given seabed target are quantified for three water turbidity conditions, namely clear, moderately turbid and turbid waters. Firstly, an analytical expression of the subsurface radiance is proposed in order to make explicit the radiance terms corresponding to these effects. Secondly, a sensitivity study is performed using radiative transfer modeling to determine the influence of the seabed adjacency effects on the upward signal with respect to various parameters such as the bathymetry or the bottom brightness. The results show that the highest contributions of the adjacency effects induced by the neighborhood of a seabed target to the subsurface radiance could reach 26%, 18% and 9% for clear, moderately turbid and turbid water conditions respectively. Therefore, the detection of a seabed target could be significantly biased if the seabed adjacency effects are ignored in the analysis of remote sensing measurements. Our results could be further used to improve the performance of inverse algorithms dedicated to the retrieval of bottom composition, water optical properties and/or bathymetry.

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Section: Estimation Of the Influence Of Adjacency Effects On The Subsmentioning

confidence: 99%

Section: Estimation Of the Influence Of Adjacency Effects On The Subsmentioning

confidence: 99%

Analysis and quantification of seabed adjacency effects in the subsurface upward radiance in shallow waters

Chami¹,

Lenot²,

Guillaume³

et al. 2019

Opt. Express

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View full text Add to dashboard Cite

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“…Though much progress has made on the polarized light propagating through the atmosphere-ocean system, most of the relevant models are not public available. Fortunately, Chami et al [37] developed a powerful vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface (OSOAA model) with a friendly graphical user interface shared for the community. More recently, Foster and Gilerson [38] developed a hybrid approach combining vector radiative transfer simulations and the Monte Carlo method is used to determine the transfer functions of polarized light for wind-driven ocean surfaces.…”

Section: Introductionmentioning

confidence: 99%

Polarization Patterns of Transmitted Celestial Light under Wavy Water Surfaces

Zhou

Wang

et al. 2017

Remote Sensing

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This paper presents a model to describe the polarization patterns of celestial light, which includes sunlight and skylight, when refracted by wavy water surfaces. The polarization patterns and intensity distribution of refracted light through the wave water surface were calculated. The model was validated by underwater experimental measurements. The experimental and theoretical values agree well qualitatively. This work provides a quantitative description of the repolarization and transmittance of celestial light transmitted through wave water surfaces. The effects of wind speed and incident sources on the underwater refraction polarization patterns are discussed. Scattering skylight dominates the polarization patterns while direct solar light is the dominant source of the intensity of the underwater light field. Wind speed has an influence on disturbing the patterns under water.

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“…However, better modeling schemes are required with respect to wind speed for the rough ocean surface, [Cox and Munk, 1954;Nakajima and Tanaka, 1983;Fischer and Grassl, 1984;Mobley, 1994;Fell and Fischer, 2001;Jin et al, 2006;Chowdhary et al, 2006;Ota et al, 2010;He et al, 2010;Zhai 20 et al, 2010Zhai 20 et al, , 2017Chami et al, 2015], particularly in the sun glint conditions. Sun glint is a major issue for the remote sensing of aerosols or ocean color.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous determination of aerosol optical thickness and water leaving radiance from multispectral measurements in coastal waters

Shi¹,

Nakajima²

2017

Preprint

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Abstract. Retrieval of aerosol optical properties and water leaving radiance over ocean is changeling since the latter mostly 10 accounts for ~10% of satellite observed signal and can be easily contaminated by the atmospheric scattering. Such an effort would be more difficulty in turbid coastal waters due to the existence of optically complex oceanic substances or high aerosol loading. In an effort to solve such problems, we present an optimization approach for the simultaneous determination of aerosol optical thickness (AOT) and normalized water leaving radiance (nL w ) from multi-spectral measurements. In this algorithm, a coupled atmosphere-ocean radiative transfer model combined with a comprehensive bio-optical oceanic module 15 is used to jointly simulate the satellite observed reflectance at the top of atmosphere and water leaving radiance just above the ocean surface. Then a full-physical nonlinear optimization method is adopted to retrieve AOT and nL w in one step. The algorithm is validated using Aerosol Robotic Network Ocean Color (AERONET-OC) products selected from eight OC sites distributed over different waters, consisting of observation cases covered both in and out of sun glint from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. Results show a good consistency between retrieved and in situ 20 measurements in each site. It is demonstrated that more accurate AOT are determined based on the simultaneous retrieval method, particularly in shorter wavelengths and sun glint conditions, where the averaged percentage difference (APD) of retrieved AOT generally reduce by approximate 10% in visible bands compared with those derived from the standard atmospheric correction (AC) scheme. It is caused that all the spectral measurements can be used jointly to increase the information content in the inversion of AOT and the wind speed is also simultaneously retrieved to compensate the specular 25 reflectance error estimated from the rough ocean surface model. For the retrieval of nL w , over atmospheric correction can be avoided to have a significant improvement for the inversion of nL w at 412 nm. Furthermore, generally better estimates of band ratios of nL w (443)/nL w (554) and nL w (488)/nL w (554), which are employed in the inversion of chlorophyll a concentration (Chl), are obtained using simultaneous retrieval approach with less root mean square errors and relative differences than those derived from the standard AC approach in comparison to the AERONET-OC products, as a result that 30 the APD value of retrieved Chl decreases by about 5%. On the other hand, the standard AC scheme yields a more accurate retrieval of nL w at 488 nm, prompting a further optimization of oceanic bio-optical module of current model. Atmos. Chem. Phys. Discuss., https://doi

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OSOAA: a vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean

Cited by 72 publications

References 49 publications

Analysis and quantification of seabed adjacency effects in the subsurface upward radiance in shallow waters

Analysis and quantification of seabed adjacency effects in the subsurface upward radiance in shallow waters

Polarization Patterns of Transmitted Celestial Light under Wavy Water Surfaces

Simultaneous determination of aerosol optical thickness and water leaving radiance from multispectral measurements in coastal waters

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