FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894617617> ?p ?o ?g. }

• W2894617617 endingPage "224" @default.
• W2894617617 startingPage "202" @default.
• W2894617617 abstract "The category of 3-D Vector radiative transfer (VRT) modeling was proved accurate enough to mimic realistically the polarized component of a vegetation canopy reflectance. Nonetheless, the reliability of such variety of model is still somewhat hampered by a lack of parameterization of the light polarization at the leaf level. This is traditionally based on Fresnel like specular reflection occurring at the leaf surface-air interface. Herein, we propose to perform an adaptation of the VRT formalism for leaves medium case based on the Monte Carlo (MC) forward ray tracing simulation. Two phenomena are taken into account; (i) a decrease by an absorption law within the different leaf tissues that is governed by the absorption coefficients; (ii) a reflection or refraction in the interface between two tissues that is sketched by the tissue refractive index ratio. This latter effect plays at modifying the light polarization since the parallel and perpendicular components of the wave are not scattered with the same probabilities. Rays will travel generally along long distances before exiting the medium, thereby leading to a large running computational time. In order to make the computation more efficient, we developed a dedicated model aimed at predicting the average so-called ray effect after a long travel. Hence, the ray tracing is stopped earlier in practice. The improvement is extended to hyper-spectral simulations as the demand is increasing. A new MC weighted sampling technique is proposed in this study with the objective to be applicable once for close wavelengths using the same tracing. Alike, as to simulate canopy reflectance, all the leaf directional scattering distributions are required, multi-angular simulation are gathered using the same ray tracing technique. Experimental results show large differences between classical 1-D model and the new proposed here, as leaves are no longer treated as Lambertian surfaces, with thin peak of specular reflection, but the reflectance increases in the forward direction. Moreover, with the new formulation leaves highly polarize light in both horizontal and horizontal-diagonal directions in the forward and inclined-forward directions, respectively. Taking into account the polarization mainly affects the scattering distribution for polarized incident light. This effect is more pronounced for smooth leaves. By comparison to the existing measurements of reflectance and polarization, the model shows generally the same trends." @default.
• W2894617617 created "2018-10-12" @default.
• W2894617617 creator A5065284035 @default.
• W2894617617 date "2018-12-01" @default.
• W2894617617 modified "2023-09-30" @default.
• W2894617617 title "Leaf polarized BRDF simulation based on Monte Carlo 3-D vector RT modeling" @default.
• W2894617617 cites W188908432 @default.
• W2894617617 cites W1963753794 @default.
• W2894617617 cites W1974423938 @default.
• W2894617617 cites W1980929817 @default.
• W2894617617 cites W1981009454 @default.
• W2894617617 cites W1985301747 @default.
• W2894617617 cites W1988539907 @default.
• W2894617617 cites W1997131471 @default.
• W2894617617 cites W1999512103 @default.
• W2894617617 cites W1999518589 @default.
• W2894617617 cites W2013328968 @default.
• W2894617617 cites W2020860387 @default.
• W2894617617 cites W2026220989 @default.
• W2894617617 cites W2028518292 @default.
• W2894617617 cites W2036109179 @default.
• W2894617617 cites W2062738476 @default.
• W2894617617 cites W2064552842 @default.
• W2894617617 cites W2066612219 @default.
• W2894617617 cites W2066665612 @default.
• W2894617617 cites W2073100112 @default.
• W2894617617 cites W2121025745 @default.
• W2894617617 cites W2130959779 @default.
• W2894617617 cites W2139572786 @default.
• W2894617617 cites W2178726605 @default.
• W2894617617 cites W2528004035 @default.
• W2894617617 cites W2552725917 @default.
• W2894617617 cites W2605582374 @default.
• W2894617617 cites W2736930901 @default.
• W2894617617 cites W2768710487 @default.
• W2894617617 cites W284431785 @default.
• W2894617617 cites W62983448 @default.
• W2894617617 doi "https://doi.org/10.1016/j.jqsrt.2018.09.033" @default.
• W2894617617 hasPublicationYear "2018" @default.
• W2894617617 type Work @default.
• W2894617617 sameAs 2894617617 @default.
• W2894617617 citedByCount "40" @default.
• W2894617617 countsByYear W28946176172019 @default.
• W2894617617 countsByYear W28946176172020 @default.
• W2894617617 countsByYear W28946176172022 @default.
• W2894617617 countsByYear W28946176172023 @default.
• W2894617617 crossrefType "journal-article" @default.
• W2894617617 hasAuthorship W2894617617A5065284035 @default.
• W2894617617 hasConcept C105795698 @default.
• W2894617617 hasConcept C108597893 @default.
• W2894617617 hasConcept C11413529 @default.
• W2894617617 hasConcept C118381688 @default.
• W2894617617 hasConcept C120665830 @default.
• W2894617617 hasConcept C121332964 @default.
• W2894617617 hasConcept C121483023 @default.
• W2894617617 hasConcept C147789679 @default.
• W2894617617 hasConcept C151596937 @default.
• W2894617617 hasConcept C153837357 @default.
• W2894617617 hasConcept C185592680 @default.
• W2894617617 hasConcept C191486275 @default.
• W2894617617 hasConcept C19499675 @default.
• W2894617617 hasConcept C205049153 @default.
• W2894617617 hasConcept C30475298 @default.
• W2894617617 hasConcept C33923547 @default.
• W2894617617 hasConcept C41008148 @default.
• W2894617617 hasConcept C42067758 @default.
• W2894617617 hasConcept C45374587 @default.
• W2894617617 hasConcept C74902906 @default.
• W2894617617 hasConcept C82744980 @default.
• W2894617617 hasConcept C85725439 @default.
• W2894617617 hasConceptScore W2894617617C105795698 @default.
• W2894617617 hasConceptScore W2894617617C108597893 @default.
• W2894617617 hasConceptScore W2894617617C11413529 @default.
• W2894617617 hasConceptScore W2894617617C118381688 @default.
• W2894617617 hasConceptScore W2894617617C120665830 @default.
• W2894617617 hasConceptScore W2894617617C121332964 @default.
• W2894617617 hasConceptScore W2894617617C121483023 @default.
• W2894617617 hasConceptScore W2894617617C147789679 @default.
• W2894617617 hasConceptScore W2894617617C151596937 @default.
• W2894617617 hasConceptScore W2894617617C153837357 @default.
• W2894617617 hasConceptScore W2894617617C185592680 @default.
• W2894617617 hasConceptScore W2894617617C191486275 @default.
• W2894617617 hasConceptScore W2894617617C19499675 @default.
• W2894617617 hasConceptScore W2894617617C205049153 @default.
• W2894617617 hasConceptScore W2894617617C30475298 @default.
• W2894617617 hasConceptScore W2894617617C33923547 @default.
• W2894617617 hasConceptScore W2894617617C41008148 @default.
• W2894617617 hasConceptScore W2894617617C42067758 @default.
• W2894617617 hasConceptScore W2894617617C45374587 @default.
• W2894617617 hasConceptScore W2894617617C74902906 @default.
• W2894617617 hasConceptScore W2894617617C82744980 @default.
• W2894617617 hasConceptScore W2894617617C85725439 @default.
• W2894617617 hasLocation W28946176171 @default.
• W2894617617 hasOpenAccess W2894617617 @default.
• W2894617617 hasPrimaryLocation W28946176171 @default.
• W2894617617 hasRelatedWork W2018630282 @default.
• W2894617617 hasRelatedWork W2052473100 @default.
• W2894617617 hasRelatedWork W2069660754 @default.

• next