BRDF Applications in Semiarid Grassland Monitoring with the AVHRRs
Weight of Determination
The weight of determination (WoD) is quantity providing a measure of the
noise incurred when reflectance is modelled at view and illumination
geometries other than those of the observations. It is calculated using the
inverse matrix which provides the solution to the least squares problem when
observations are fitted to a BRDF model. Since this matrix depends upon the
sampling scheme (angular distribution of observations), the WoD is also
dependent on this as well as the modelling geometry chosen.
The first chart below shows the maximum, mean and mode WoD values for
images generated by modelling scenes with the Roujean model alongside the
total transformed divergence for 10 grassland community type classes when
signatures are extracted from the modelled images. Note that the lowest mean
and mode WoD values occur close to the point at which total transformed
divergence is highest; and that the number of observations with very high
WoDs is very low for most geometries.
Total Transformed Divergence (total for 10 grassland community type
class pairs) and Maximum, Mean and Mode Weight of Determination (for entire
modelled images) with Modelling to Different View Zenith Angles in the
Principal Plane (Roujean model; solar zenith at 45 degrees). Numbers against
data points for maximum WoD indicate no. of observations with WoD > 1.00,
out of a total of 33,405 for the entire image.
Maximum, Mean and Mode Weight of Determination (for entire modelled
images) with Modelling to Different View Zenith Angles for a solar zenith of
45 degrees, in the Principal Plane, with the Roujean (solid lines) and
LiDenseMODIS/RossThick (dotted lines) models. Numbers against data points
for maximum WoD indicate no. of observations with WoD > 1.00, out of a total
of 33,405 for the entire image. Note the increase in mean and mode WoDs for
the LiDenseMODIS/RossThick model to about 1 at the hotspot location (viewing
at 45 degrees in the backscattering direction).
The training sites for the classes used are shown here.
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