Grignon, C. y Passeron , J.-c., Lo Culto y Lo Popular, Madrid, Ediciones de La Piqueta, 1992 parte
Modeling the radiance field within 3D crop canopies Michaël Chelle, Bruno Andrieu UMR Environnement...
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Transcript of Modeling the radiance field within 3D crop canopies Michaël Chelle, Bruno Andrieu UMR Environnement...
![Page 1: Modeling the radiance field within 3D crop canopies Michaël Chelle, Bruno Andrieu UMR Environnement et Grandes Cultures INRA Thiverval-Grignon - France.](https://reader034.fdocuments.in/reader034/viewer/2022051416/56649ea95503460f94bada8a/html5/thumbnails/1.jpg)
Modeling the radiance fieldwithin 3D crop canopies
Michaël Chelle, Bruno AndrieuUMR Environnement et Grandes Cultures
INRA Thiverval-Grignon - France
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Modeling 3D light transferLight-leaf interaction
incident
reflection
transmissionabsorption
Sanz et al, 1997
Maize leaf BRDF
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Modeling 3D light transfer
interception
scattering
Light-leaves interactions
=> Not working on a whole canopy, but on a significant pattern ∞ duplicated
The radiance equation
L(y,yx)
Complexity of solving this equation depends on the number of surfaces Sy
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First order of scatteringProjection (Z-buffer)
Efficient treatment of periodic infinite canopy
Canopy BRDF => double Z-buffer : Bvis (B. Andrieu, 1999)
Canopy gap fraction => single Z-buffer : Monogap
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First order of scatteringExample of application
Estimation of the clumping parameter
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Multiple scatteringMonte Carlo ray tracing
Ross & Marshak (1988); ART (Dauzat, 1991) Raytran (Govaerts, 1994), North(1996), BPMS (Lewis, 1999),…
Following stochastically the propagation of light rays within a 3D canopy
Our Monte Carlo ray tracing : PARCINOPY
* Classic CG algorithms
•Polygons set, various leaf BRDF
• Multispectral: work in progress
* Estimation of the variance of each output
Few assumptions, but Computing-time consuming
* Numerous output variables (not only canopy reflectance) + Canopy BRDF, gap fraction,… + Profile of mean fluxes, radiance distrib° + virtual sensors + polygons irradiance
each variable may be given by scattering order
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Multiple scatteringIllustrations of parcinopy uses
Generation of reference dataset: nested radiosity, Kuusk (97), Shabanov (2000) Analysis of sensitivity : leaf BRDF, Plant geometry (Espana et al)
an erectophile canopy lit with a zenith source
NIR
?
Study of radiative transfer: what about fluxes isotropy? scattering order?
LAI 0.5,
LAI 2
LAI 3.7
TM, LAI 4, 60°, NIR
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Multiple scatteringA more efficient method : radiosity
Borel (1991); Goel (1991), Garcia-Haro (2002),
fr(x) i
L(y,r)
B i (radiosity)H Lambertian
Thus, the radiance equation is simplified:
A radiosity model consists in: computing the N2 form factors between each leaf solving the resulting system of linear equations
Two limitations of the radiosity method: the N2 complexity the Lambertian approximation
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Multiple scatteringA dedicated radiosity method for canopy
the nested radiosity (Chelle et Andrieu, 1998)
Designed to estimate leaf irradiances, a Z-buffer projection may be used to estimate canopy BRDF from these…
For each triangle, a sphere defines the close objects
The far radiations are estimated by a TM model: SAIL
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Several questions remains:
What about the 3D structure accuracy? Quid about moving plants ?
How detailed should be the optical properties ?
Are these approaches also suitable for forest canopy? What about needles?
Experimental dataset ?
Should the 3D approaches be restricted to the theoretical studies to improve efficient TM models (hot spot, clumping,…) or be used to design operational methods?
Modeling 3D light transfer
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Conclusion
Provide tools to investigate light-canopy interactions and the properties of resulting fluxes
Provide reference dataset
Combining accurate 3D canopies and 3D RT tools
Basis to develop efficient, but correct RT models to analyze remote sensing data
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0 ~ 1 0 <1
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Sensivity to the sphere diameter : the case of maize