add PAN band output to PRISMA import algorithms

[Andreas Janz]

This is the PAN subdatset:

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Also check out the R implementation here: https://github.com/ranghetti/prismaread/blob/master/R/pr_create_pan.R

[Dimitris Poursanidis]

thanks for that. R package is a way to go for now

[Andreas Janz]

You’re welcome Dimitris.
And also, we are open to any further feedback or suggestions regarding PRISMA support in the EnMAP-Box.
Have a nice day.

[Dimitris Poursanidis]

Ok so.

Option for VNIR or SWIR data cube to import/use?

A way to remove bands with bad lines?

[Andreas Janz]

Option for VNIR or SWIR data cube to import/use?

Alright:  #879

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A way to remove bands with bad lines?

Who is identifying those bands? The user or an algorithm (is such an algorithm available in Python)?

After the bad bands list is known, we can just do band subsetting.

[Dimitris Poursanidis]

the bad lines are not systematic in the data. Visualy can be identified by the user and automated by detecting anomalies in the sequence of the band.

example >

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[Andreas Janz]

So far I don’t have any strip-detection or destriping algorithm at hand.

[Andreas Janz]

Just realized that there is a Pansharpening algorithm available in QGIS

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And the result can be stored as a VRT, so we do not even need to write the 5m pansharpened spectral cube to disk

[Andreas Janz]

see follow-up issue #904