[GRASS-user] Chavez COST Model

[Gabriela Messner]

hellow,

I've download S.M. Skirving's algorith for atmospheric correction of Landsat
imaged based on Chavez's COST-Model, from the following web:
http://arsc.arid.arizona.edu/resources/image_processing/landsat/ls5-atmo.html

the algorithm is:

MODEL GMD = (( -2.8890805 + (0.0602353 * 'name_of_the_band' - 0.15)) * PI *
0.9932554  ** 2) / (195.7 * COS (PI/180 * (90 - 52.21))  ** 2)

The results obtained with r.map.calc represent the reflectiviy of each pixel
and range between 0-1, but really what I want to get is the image with the
Digital Levels corrected (from the raw image)with values 0-255 to afterwards
perform a supervised classification.


How must I do to get it?

thanks in advanced

Gabriella.
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