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Atmospheric correction for satellite question
08-Jun-2015, 10:41 PM,
#1
Atmospheric correction for satellite question
Hello, I am currently attempting to run ATCOR4 atmospheric correction of a scene from NASA's HICO hyperspectral imager. I have set up the sensor (satellite based), made the SCA, rsp, RESLUT files. I have input the flight and solar geometry, selected the h99000 atmospheric file.

The problem I am having happens when I attempt to run Image Processing. After clicking Image Processing, I choose "Yes" for Variable Visibility and Variable Water Vapor, and "No" for the other options. Next, I leave the "Select Region(s) for Water Vapor Algorithm" options at their defaults. I also leave "Spectral Reflectance Raio for Dark Pixels (DDV)" at it's default settings as well, including no interpolation for Visibility Index. After selecting "Done" I get the following error: >>>atcor4f-Error <<< STDEV: Number of data points must be > 1.

I am not sure what this error means and how I can fix the issue, I would really appreciate any and all help. Thank you.
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09-Jun-2015, 08:01 AM,
#2
RE: Atmospheric correction for satellite question
It seems that no valid data was found in the imagery, possibly due to wrong masking by the scan angle file or in the preclassification routine. Please send the sample data set to info@rese.ch such that we can check out the data directly.
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09-Jun-2015, 07:09 PM,
#3
RE: Atmospheric correction for satellite question
(09-Jun-2015, 08:01 AM)reseadmin Wrote: It seems that no valid data was found in the imagery, possibly due to wrong masking by the scan angle file or in the preclassification routine. Please send the sample data set to info@rese.ch such that we can check out the data directly.

I would be happy to send you my data set, however the HICO image is 170MB in size, 90MB compressed so I am unable to email it to you.
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09-Jun-2015, 11:17 PM,
#4
RE: Atmospheric correction for satellite question
Please contact me off-forum for file transfer instructions. I'd only need to check the side layers at first. Daniel
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