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    Model ID: M00041
    Model Name: Kernel-driven BRDF model
    Encoders:
    No. Name Affiliations
    1
    Wolfgang Lucht (Wanner)
    schaaf@bu.edu
    Key words: Weights of scattering,
    Model Type: Semi-empirical
    Latest Modified:
    Submission Date:
    Abstract: The bidirectional reflectance is expanded into a linear sum of different scattering modes: isotropic scattering, volume scattering and geometric-optical surface scattering. Three different kernels of BRDF model are used to describe the scattering modes, The three kernels can combined a new BRDF model, the kernel-driven BRDF model, according to the principle of minimum error.
    Equation:
    1
    Name: Numberical value
    Parameter type: int
    Physic Entity: Describe number
    2
    Name: Number of waveband
    Parameter type: int
    Physic Entity: Describe number of calculated waveband
    3
    Name: View zenith angle
    Parameter type: double
    Physic Entity: Describe viewing geometries
    4
    Name: View azimuth angle
    Parameter type: double
    Physic Entity: Describe viewing geometries
    5
    Name: Solar zenith angle
    Parameter type: double
    Physic Entity: Describe solar geometries
    6
    Name: Solar azimuth angle
    Parameter type: double
    Physic Entity: Describe solar geometries
    7
    Name: Reflectance
    Parameter type: double
    Physic Entity: In inversion mode, it is the observed reflectance in the respective bands (the number of samples is equal to the number of wavebands). You can find it in the input file.
    8
    Name: Number of kernels
    Parameter type: int
    Physic Entity: The number of kernels used by the model selected
    9
    Name: Kernel code
    Parameter type: double
    Physic Entity: It is corresponded to different kernels.
    10
    Name: RMSE
    Parameter type: double
    Physic Entity: The root of the sum of the absolute errors in each band, absolute errors being the squared deviations of the modeled from the observed reflectances, relative meaning with respect to the observation.
    11
    Name: Weight of isotropic scattering
    Parameter type: double
    Physic Entity: Weight of isotropic scattering to be employed for different bands.
    12
    Name: Weight of geometric-optical scattering
    Parameter type: double
    Physic Entity: Weight of geometric-optical scattering to be employed for different bands.
    13
    Name: Weight of volumetric scattering
    Parameter type: double
    Physic Entity: Weight of isotropic scattering to be employed for different bands.
    14
    Name: White sky albedo
    Parameter type: double
    Physic Entity: White sky albedo for different bands
    15
    Name: Black sky albedo
    Parameter type: double
    Physic Entity: Black sky albedo of different bands in different solar zeniths (0°、=0°、45°、60°).
    Title: A bidirectional reflectance model of the earth's surface for the correction of remote sensing data.
    Authors:
    No. Name Affiliations
    1
    Roujean, J. -L
    Cited by: Journal of Geophysical Research
    Abstract: A surface bidirectional reflectance model has been developed for the correction of surface bidirectional effects in time series of satellite observations, where both sun and viewing angles are varying. The model follows a semiempirical approach and is designed to be applicable to heteroge-neous surfaces. It contains only three adjustable parameters describing the surface and can potentially be included in an algorithm of processing and correction of a time series of remote sensing data. The model considers that the observed surface bidirectional reflectance is the sum of two main processes operating at a local scale: (1) a diffuse reflection component taking into account the geometrical structure of opaque reflectors on the surface, and shadowing effects, and (2) a volume scattering contribution by a collection of dispersed facets which simulates the volume scattering properties of canopies and bare soils. Detailed comparisons between the model and in situ observations show satisfactory agreement for most investigated surface types in the visible and near-infrared spectral bands. The model appears therefore as a good candidate to reduce substantially the undesirable fluctuations related to surface bidirectional effects in remotely sensed multitemporal data sets.

    Equation