Exploration of a Polarized Surface Bidirectional Reflectance Model Using the Ground-Based Multiangle SpectroPolarimetric Imager

Diner, David J.; Xu, Feng; Martonchik, John V.; Rheingans, B. E.; Geier, S.; Jovanović, Veljko; Davis, A. B.; Chipman, Russell A.; McClain, Stephen C.

doi:10.3390/atmos3040591

Cited by 71 publications

(52 citation statements)

References 52 publications

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“…SHDOM has special purpose subroutines for the unpolarized case (N stokes ¼ 1) so the polarized code serves efficiently for scalar calculations. There are two polarized surface reflection models: Fresnel surface with waves [57] used for ocean, and depolarizing modified-RPV (including the hotspot) with polarizing Fresnel reflection from randomly oriented microfacets [8] used for land. When enough memory is available, the surface BRDF is precomputed for all incoming and outgoing discrete ordinates, greatly speeding up computation for uniform nonLambertian surfaces.…”

Section: Shdommentioning

confidence: 99%

“…The Research Scanning Polarimeter (RSP) [6,7] has been used for ground-based as well as airborne aerosol measurements. Other multi-channel polarimetric instruments are the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) [8] and the Observing System Including PolaRisation in the Solar Infrared Spectrum (OSIRIS) [9]. The commercially available ground-based polarimeter, CE318-DP, developed by CIMEL Electronic (Paris, France) is now available at several AERONET stations [10].…”

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confidence: 99%

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IPRT polarized radiative transfer model intercomparison project – Phase A

Emde¹,

Barlakas

Cornet

et al. 2015

Journal of Quantitative Spectroscopy and Radiative Transfer

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a b s t r a c tThe polarization state of electromagnetic radiation scattered by atmospheric particles such as aerosols, cloud droplets, or ice crystals contains much more information about the optical and microphysical properties than the total intensity alone. For this reason an increasing number of polarimetric observations are performed from space, from the ground and from aircraft. Polarized radiative transfer models are required to interpret and analyse these measurements and to develop retrieval algorithms exploiting polarimetric observations. In the last years a large number of new codes have been developed, mostly for specific applications. Benchmark results are available for specific cases, but not for more sophisticated scenarios including polarized surface reflection and multi-layer atmospheres. The International Polarized Radiative Transfer (IPRT) working group of the International Radiation Commission (IRC) has initiated a model intercomparison project in order to fill this gap. This paper presents the results of the first phase A of the IPRT project which includes ten test cases, from simple setups with only one layer and Rayleigh scattering to rather sophisticated setups with a cloud embedded in a standard atmosphere above an ocean surface. All scenarios in the first phase A of the intercomparison project are for a one-dimensional plane-parallel model geometry. The commonly established benchmark results are available at the IPRT website

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Section: Shdommentioning

confidence: 99%

mentioning

confidence: 99%

IPRT polarized radiative transfer model intercomparison project – Phase A

Emde¹,

Barlakas

Cornet

et al. 2015

Journal of Quantitative Spectroscopy and Radiative Transfer

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“…The Stokes parameters of the sunglint reflected from the calm surface of an oil slick or seawater can be expressed as [ I o , Q o , U o , V o ] T . The Mueller matrix, which is a polarized state transformation matrix [ Priest and Meier , ; Diner et al ., ], connects the Stokes vectors for the directly incident and reflected sunlight. At the interface between two different isotropic, homogeneous media, the Mueller matrix ( M ) can be expressed as

M = \frac{1}{2} ([]|, \begin{matrix} \begin{matrix} \begin{matrix} r_{s}^{2} + r_{p}^{2} \\ r_{s}^{2} - r_{p}^{2} \end{matrix} & \begin{matrix} r_{s}^{2} - r_{p}^{2} \\ r_{s}^{2} + r_{p}^{2} \end{matrix} \end{matrix} & \begin{matrix} \begin{matrix} 0 \\ 0 \end{matrix} & \begin{matrix} 0 \\ 0 \end{matrix} \end{matrix} \\ \begin{matrix} \begin{matrix} 0 \\ 0 \end{matrix} & \begin{matrix} 0 \\ 0 \end{matrix} \end{matrix} & \begin{matrix} \begin{matrix} 2 r_{s} r_{p} \cos Δ \\ - 2 r_{s} r_{p} \sin Δ \end{matrix} & \begin{matrix} 2 r_{s} r_{p} \sin Δ \\ 2 r_{s} r_{p} \cos Δ \end{matrix} \end{matrix} \end{matrix}),

where Δ is the phase difference between the sunglint s and p‐polarization parameters.…”

Section: Polarized Optical Model Of the Oil Slicksmentioning

confidence: 99%

Using remote sensing to detect the polarized sunglint reflected from oil slicks beyond the critical angle

Zhou

Liu

et al. 2017

JGR Oceans

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The critical angle at which the brightness of oil slicks and oil‐free seawater is reversed occurs under sunglint and is often shown as an area of uncertainty due to different roughness and surface Fresnel reflection parameters. Consequently, differentiating oil slicks from the seawater in these areas using optical sensors is a challenge. Polarized optical remote sensing techniques provide complementary information for intensity imagery with different physical properties and, thus, possess the ability to resolve this difficult problem. In the polarized reflectance model, the degree of linear polarization (DOLP) of sunglint depends on accurately knowing the Stokes parameter for the reflected light, and varies with the refractive index of the surface layer and viewing angles. For the polarized detection of oil slicks, the highest sensitivity of the DOLP to the refractive index is located within the specular reflection direction where the sum of the solar and sensor zenith angles is 82.6°. The modeled results clearly indicate that the DOLP of oil slicks is weaker in comparison with oil‐free seawater under sunglint. Using measurements from the space‐borne Polarization and Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL) over the Deepwater Horizon oil spill in the Gulf of Mexico, we illustrate that the PARASOL‐derived DOLP difference between the oil spill and seawater is obvious and is in accordance with the modeled results. These preliminary results suggest that the potential of multiangle measurement and feasibility of deriving refractive index of ocean surface from space‐borne sensors need further researches.

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“…Laboratory and airborne measurements indicate that the polarized reflectance from several kinds of surfaces, such as forest, vegetation and bare soils, are spectrally neutral from the visible to SWIR bands [13][14][15][32][33][34], which is consistent with the hypothesis that the surface reflected polarization is generated mainly by the specular reflection at the surface interface, and it can be approximately modelled based on the Fresnel reflection [30]. Consequently, the polarization measurements at near-infrared or SWIR bands (i.e., 1640 nm) corrected for atmospheric effect can derive the polarized surface reflectance at shorter bands.…”

Section: Modelling Of Polarized Reflectancementioning

confidence: 99%

Improving Remote Sensing of Aerosol Optical Depth over Land by Polarimetric Measurements at 1640 nm: Airborne Test in North China

Qie

Sun

et al. 2015

Remote Sensing

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An improved aerosol retrieval algorithm based on the Advanced Multi-angular Polarized Radiometer (AMPR) is presented to illustrate the utility of additional 1640-nm observations for measuring aerosol optical depth (AOD) over land using look-up table approaches. Spectral neutrality of the polarized surface reflectance over visible to short-wavelength infrared bands is verified, and the 1640-nm measurements corrected for atmospheric effects are used to estimate the polarized surface reflectance at shorter wavelengths. The AMPR measurements over the Beijing-Tianjin-Hebei region in north China reveal that the polarized surface reflectance of 670, 865 and 1640 nm are highly correlated with correlation slopes close to one (0.985 and 1.03) when the scattering angle is OPEN ACCESS Remote Sens. 2015, 7 6241 less than 145°. The 1640-nm measurements are then employed to estimate polarized surface reflectance at shorter wavelengths for each single viewing direction, which are then used to improve the retrieval of AOD over land. The comparison between AMPR retrievals and ground-based Sun-sky radiometer measurements during three experimental flights illustrates that this approach retrieves AOD at 865 nm with uncertainties ranging from 0.01 to 0.06, while AOD varies from 0.05 to 0.17.

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Exploration of a Polarized Surface Bidirectional Reflectance Model Using the Ground-Based Multiangle SpectroPolarimetric Imager

Cited by 71 publications

References 52 publications

IPRT polarized radiative transfer model intercomparison project – Phase A

IPRT polarized radiative transfer model intercomparison project – Phase A

Using remote sensing to detect the polarized sunglint reflected from oil slicks beyond the critical angle

Improving Remote Sensing of Aerosol Optical Depth over Land by Polarimetric Measurements at 1640 nm: Airborne Test in North China

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