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: 2002/01/25 05:45:33 $