i.oif(1) - f14

1i.oif(1)                      Grass User's Manual                     i.oif(1)
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NAME

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

10       raster, imagery, statistics
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SYNOPSIS

13       i.oif
14       i.oif help
15       i.oif   image1=string   image2=string    image3=string    image4=string
16       image5=string image7=string  [--verbose]  [--quiet]
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18   Parameters:
19       image1=string
20           LANDSAT TM band 1.
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22       image2=string
23           LANDSAT TM band 2.
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25       image3=string
26           LANDSAT TM band 3.
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28       image4=string
29           LANDSAT TM band 4.
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31       image5=string
32           LANDSAT TM band 5.
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34       image7=string
35           LANDSAT TM band 7.
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DESCRIPTION

38       i.oif  calculates  the  Optimum  Index  Factor  for  LANDSAT  TM  bands
39       1,2,3,4,5 and 7.
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41       The Optimum Index Factor is calculated to determine the  band  combina‐
42       tion which shows the maximum information when combined into a composite
43       image. The bands comprising the highest scoring combination from  i.oif
44       are used as the three color channels required for d.rgb or r.composite.
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46       The  analysis  is  saved  to  a  file  in  the current directory called
47       "i.oif.result".
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NOTES

50       Colour Composits in BGR order: important  band  combinations  (example:
51       234 in BGR order means: B=2, G=3, R=4):
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53                      123:  near  natural ("true") colour; however, because of
54                     correlation of the 3 bands in visible spectrum, this com‐
55                     bination contains not much more info than is contained in
56                     single band.
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58                      234: sensitive to green vegetation (portrayed  as  red),
59                     coniferous   as  distinctly  darker  red  than  deciduous
60                     forests. Roads and water bodies are clear.
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62                      243: green vegetation is green  but  coniferous  forests
63                     aren't as clear as in the 234 combination
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65                      247:  one  of  the best for info pertaining to forestry.
66                     Good for operation scale mapping of recent harvest  areas
67                     and road construction.
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69                      345:  contains one band from each of the main reflective
70                     units (vis, nir, shortwave infra).  Green  vegetation  is
71                     green  and  the  shortwave band shows vegetational stress
72                     and mortality.  Roads are less evident as band 3 is blue.
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74                      347: similar to 345 but depicts burned areas better.
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76                      354: appears more like a colour infrared photo.
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78                      374: similar to 354.
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80                      457: shows soil texture classes (clay, loam, sandy).
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REFERENCES

83       Jensen,  1996.  Introductory  digital  image  processing,  p.98.   ISBN
84       0-13-205840-5
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AUTHOR

93       Markus Neteler, ITC-Irst, Trento, Italy
94       Updated to GRASS 5.7 by Michael Barton, Arizona State University
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96       Last changed: $Date: 2007-11-13 12:09:02 +0100 (Tue, 13 Nov 2007) $
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98       Full index
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100       © 2003-2008 GRASS Development Team
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104GRASS 6.3.0                                                           i.oif(1)