NAME

       i.oif  - Calculates Optimum-Index-Factor table for LANDSAT TM bands 1-5, & 7

KEYWORDS

       raster, imagery, statistics

SYNOPSIS

       i.oif
       i.oif help
       i.oif   [-g]   image1=string   image2=string   image3=string  image4=string  image5=string  image7=string
       [--verbose]  [--quiet]

   Flags:
       -g
           Print in shell script style

       --verbose
           Verbose module output

       --quiet
           Quiet module output

   Parameters:
       image1=string
           LANDSAT TM band 1.

       image2=string
           LANDSAT TM band 2.

       image3=string
           LANDSAT TM band 3.

       image4=string
           LANDSAT TM band 4.

       image5=string
           LANDSAT TM band 5.

       image7=string
           LANDSAT TM band 7.

DESCRIPTION

       i.oif calculates the Optimum Index Factor for LANDSAT TM bands 1,2,3,4,5 and 7.

       The Optimum Index Factor is calculated  to  determine  the  band  combination  which  shows  the  maximum
       information  when  combined  into a composite image. The bands comprising the highest scoring combination
       from i.oif are used as the three color channels required for d.rgb or r.composite.

       The analysis is saved to a file in the current directory called "i.oif.result".

NOTES

       Colour Composites in BGR order: important band combinations (example: 234 in BGR order means:  B=2,  G=3,
       R=4):

                      123:  near  natural  ("true")  colour;  however,  because of correlation of the 3 bands in
                     visible spectrum, this combination contains not much more info than is contained in  single
                     band.

                      234: sensitive to green vegetation (portrayed as red), coniferous as distinctly darker red
                     than deciduous forests. Roads and water bodies are clear.

                      243:  green  vegetation  is  green  but  coniferous  forests  aren't  as  clear as the 234
                     combination.

                      247: one of the best for info pertaining to forestry. Good for operation scale mapping  of
                     recent harvest areas and road construction.

                      345: contains one band from each of the main reflective units (vis, nir, shortwave infra).
                     Green  vegetation  is green and the shortwave band shows vegetational stress and mortality.
                     Roads are less evident as band 3 is blue.

                      347: similar to 345 but depicts burned areas better.

                      354: appears more like a colour infrared photo.

                      374: similar to 354.

                      457: shows soil texture classes (clay, loam, sandy).

EXAMPLE

       North Carolina sample dataset:
       g.region rast=lsat7_2002_10 -p
       i.oif image1=lsat7_2002_10 image2=lsat7_2002_20 image3=lsat7_2002_30 \
             image4=lsat7_2002_40 image5=lsat7_2002_50 image7=lsat7_2002_70

REFERENCE

       Jensen, 1996. Introductory digital image processing. Prentice Hall, p.98. ISBN 0-13-205840-5

SEE ALSO

        d.rgb, r.composite, r.covar, r.univar

AUTHOR

       Markus Neteler, ITC-Irst, Trento, Italy
       Updated to GRASS 5.7 by Michael Barton, Arizona State University

       Last changed: $Date: 2011-09-04 06:23:30 -0700 (Sun, 04 Sep 2011) $

       Full index

       © 2003-2013 GRASS Development Team

GRASS 6.4.3                                                                                        i.oif(1grass)