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Abstract Skianis GA, Vaiopoulos D, Nikolakopoulos K:
"A study of the vegetation index savi, based on probability theory ",
In 7PGC/HGS: (2004)

Keywords   vegetation index, SAVI, image histogram, distribution
Abstract   In the present paper are studied the characteristics of the image which is produced by the application of the vegetation index SAVI on multispectral data. First, a proper distribution is introduced, in order to describe the histograms of the red and the near infrared channel. Based on a theorem of probability theory, the expression for the distribution of SAVI values is deduced. Studying this distribution, it is realized that the standard deviation of the SAVI image decreases, as long as the value of the parameter L, which is incorporated in the mathematical expression for SAVI, increases. This means that the contrast of the SAVI image is lower than that of the NDVI image. This prediction is verified by a test on a Landsat image. On the other hand, the noise at low brightness values of the SAVI image is higher than that of the NDVI image. The general conclusion is that the vegetation index SAVI produces images with a relatively low contrast and a low noise at low brightness values.
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Authors:

 3 records found.
Name Affiliation Home page e-mail Total pubs 
Nikolakopoulos KIGD GROUP, Vyronos 6, 152 31 Athens  1
Skianis GAUniversity of Athens, Faculty of Geology, Remote Sensing Laboratory  2
Vaiopoulos DRemote Sensing Laboratory, Geology Department, University of Athens vaiopoulos@geol.uoa.gr3

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 16 records found.
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