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This would be nice indeed.

It would be better if you give more details about how it should work

1- how to define which bands are "true color" or "color infrared"
2- what to do exactly once these are identified. True color means assign the RGB colors to the right bands right? Now what about color infrared?

I was thinking something similar to what ENVI does where RGB true color maps to R-0.64 µm, G-0.55 µm, and B-0.47 µm, and CIR maps to R-0.86 µm, G-0.65 µm, and B-0.55 µm. If those precise bands aren't available, pick the nearest neighbor.

Use those to start, and maybe add something else in the 0.4-2.5 µm as this is typically what most new hyperspectral imagers shoot for.

That would require some guessing or metadata to know the wavelength of each band... if you can give some specific information it would be useful.

Keeping the information about the wavelength in the band metadata would also be useful for other things like spectral plots.

Bryan - is this only for ENVI datasets? DO you have an exmaple of e.g. GTiff datasets that have wavelength information?

It would be interesting to use this for MODIS and Landsat imagery, although how would we guess the proper bands or even reliably recognize the source as MODIS or Landsat?

Off the top of my head, I can't think of any data source which has a geotiff with wavelength information embedded in it. Landsat just refers to their's by band #, and I think MODIS does also. I'm pretty sure you could identify MODIS identifying metadata embedded within the hdf 4 file.