TNTmips

Combining Rasters

There are many ways both to correct and to analyze the geospatial data in raster objects. You can treat raster objects as variables in logical and mathematical expressions to minimize systematic image degradation, reconstruct data dropouts, and enhance image features. Additionally, by applying a number of analytical combinations, you can highlight targeted types of image features.

coregister rasters

subtract path radiance

NDVI vegetation index

reduce dimensionality

multilinear regression

normalize multi-temporal sets

predict dropout values

compute band ratios

Tasseled Cap transformation

enhance multi-raster sets

decorrelation stretch

SML syntax / functions

	PDF Release Version (file date: Thursday, 03-Apr-2008 16:57:20 CDT)
	Pagemaker 6.5 format
	Sample Data needed for the tutorial exercises.

Translations Available:

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Index of all booklets ...

8 May 2008
page update: 24 Aug 07

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