How to Process .KEA files in Python

[Maitrik Shah]

I have used ARCSI for getting TOA and BOA images. The output file format is .KEA.

-How can I read .KEA images in python? I want to apply a deep learning model on these images.

-Can I separate different band images from .KEA format? 

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Thanks and Regards,

Prof. Maitrik K Shah,

Assistant Professor,

Computer Engineering Department,

L.D. College of Engineering,

(M) 9537906229

[Peter Bunting]

Using the python environment you have for ARCSI then you can just read a KEA file as you can any other GDAL dataset. See the GDAL tutorials: https://gdal.org/tutorials/index.html

You can also use gdal_translate to convert to other formats (e.g., GeoTIFF). 

Best wishes, 

Pete

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[Maitrik Shah]

Thank you Very much...

I used Landsat8 Image with ARCSI.  Using arcsi.py -s ls8 -f KEA --stats -p RAD TOA, I obtained .kea file.

I converted .kea into .tif file using gdal_translate command.

Now I read that file using    

dataset = gdal.Open(filename) and then 

dataset.RasterCount returns 7.

It means dataset has 7 raster bands. 

Now my original image was Landsat8 Image which contains 9 bands (ignoring two thermal bands). 

My question is which 7 bands are there in .tif file? 

[Peter Bunting]

Dear Maitrik, 

The bands are named in the file:

Coastal
Blue
Green
Red
NIR
SWIR1
SWIR2

Best wishes, 

Pete

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