NAME

i.rvi.prediction - Calculates ground features, e.g. plant cover, by remote sensing data using a given regression model
(GRASS Image Processing Program)

SYNOPSIS

i.rvi.prediction
i.rvi.prediction help
i.rvi.prediction model=name band1=name band2=name band3=name output=name

DESCRIPTION

This programs calculate ground feature, e.g. plant cover, by remote sensing data using a given regression model. The input imagery is assumed with three optical bands: visible band1 and band2 and another infrared band3

OPTIONS

Parameter:

model=name
rvi regression model input file
band1=name
visible band1 input file
band2=name
visible band2 input file
band3=name
infrared band3 input file
output=name
output ground feature calculated
The current region definition and mask settings are respected when reading the input map.

NOTES

The ground feature of each pixel by remote sensing data is calculated using rvi regression model. After run r.rational.regression, a rvi model is a coefficient vector with the definition of:

                          a[0]x1 + a[1]x2 + a[2]x3 + a[6]
        ground feature = ---------------------------------
                          a[3]x1 + a[4]x2 + a[5]x3 + 1.0

SEE ALSO

r.rational.regression
r.linear.regression

AUTHOR

CERL

Last changed: $Date$