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View this Getting Started booklet: combrast.pdfCombining 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
View this Getting Started booklet: combrast.pdf Combining Rasters   (file date: 5 May 11)

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page update: 26 May 11