GRASS GIS manual: i.oif

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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

Landsat TM: Colour Composites in BGR order as important Landsat TM 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

AUTHORS

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

Last changed: $Date: 2013-11-15 12:39:04 -0800 (Fri, 15 Nov 2013) $

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