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Last Post 12 Apr 2007 08:56 AM by  anon
Scaling reflectance values?
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anon



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12 Apr 2007 08:56 AM
    This isn't really an ENVI specific issue but nonetheless somebody might be able to help me as I am having real problems getting my head around this problem. As I want to compare image spectra with library spectra I need to atmospherically correct ASTER data; I have used a variety of ENVI tools to do this (flat field, log residuals) and also got AST_07 surface reflectances. As these surface reflectances have a variety of value ranges (both from dataset to dataset and for each band of the datasets) I have been scaling the datasets from 0-1 however, I am not sure whether this is a valid procedure. I have spent a considerable amount of time investigating whether this is the right thing. Investigating the spectral signatures of the datasets would seem to suggest that this is the right thing to do; spectral curves for the un-scaled datasets are very odd when compared to the scaled datasets. Some clarification would be greatly appreciated! thanks, Christian Haselwimmer

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    12 Apr 2007 08:56 AM
    Based on the online documentation for AST_07 provided by the USGS EROS Data Center: http://edcdaac.usgs.gov/aster/ast_07vd.asp you can scale your data correctly by using a multiplicative factor of 0.001--regardless of which individual scene you are working with. That should consistently put your data between 0 and 1. An straightforward way to do this would be to use Band Math with this equation: float(b1)*0.001. You can choose to map the b1 variable to your entire input file so that the conversion is applied to all bands simultaneously.
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