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I'm trying to mask cloud cover of multi-spectral Landsat 5 image containing bands 1-7 that have been preprocessed using dark object subtraction and Landsat calibration.

I am using the fmask tool in ENVI5.5 and keeping all default parameters; Kernal Size 7 and Cloud Probability Threshold 22.5 as shown in the first PrintScreen below.

However when I try to run I get Error: Attempt to subscript list with index 0 is out of range (Second printscreen).

How do I overcome this error to produce a cloud mask?

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  • The FMask algorithm will look in the file's metadata for the RGB, NIR, SWIR1,SWIR2, bands (at a minimum). Based on that error, it seems like envi may not be recognizing the band wavelengths from the metadata (this can be lost in pre-processing steps). You mentioned that you've preprocesed the imagery with dark obtract subtraction and calibration. Have you tried it using the original imagery?
    – toferkey
    Commented Apr 26, 2020 at 16:38
  • @toferkey I've just tried using the original imagery and I get the same error. I am having problems opening the MTL file in ENVI could this be the problem? Thank you for your help.
    – Chelsea_VictoriaS
    Commented Apr 27, 2020 at 10:28
  • Yes, that could be the issue. Based on the tool's help document, it looks like you need to keep each of the Landsat bands in separate 1 band files (as they originally come), and use these files for the analysis. And to also make sure that the MTL file is in the same folder as these bands.
    – toferkey
    Commented Apr 27, 2020 at 12:33
  • @toferkey Thank you, it now works! I had the MTL file in another folder but once in the same file worked fine.
    – Chelsea_VictoriaS
    Commented Apr 28, 2020 at 16:05
  • Glad it worked. Cheers!
    – toferkey
    Commented Apr 28, 2020 at 21:49

1 Answer 1

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I had the MTL.txt file in a separate folder to that of the bands causing an error when loading data into ENVI.

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  • You should expand on this answer, at the moment it seems more like a comment
    – nmtoken
    Commented May 1, 2020 at 15:17

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