[Qgis-user] To Insert in QGIS Desktop v.3.28.15 a Plugin to read and convert satellite data- AVHRR L1B LAC 1km from NOAA-9, as available from NOAA CLASS website satellite

[Amal Kar]

Dear Dr. Johannes Kroger,
I am sorry, the Data file that i sent a few minutes ago was not accepted
for delivery.
Following is the message received:
Message too large
Your message couldn't be delivered to *qgis-user at lists.osgeo.org* because
it exceeds the size limit. Try reducing the message size and then resending
it.
I do not know how to send the large file.
Please see if you can get it or any such file from NOAA CLASS.
Kind Regards,
Amal Kar.

On Mon, 31 Aug 2026 at 12:55, Johannes Kröger (WhereGroup) via QGIS-User <
qgis-user at lists.osgeo.org> wrote:

> Dear Dr. Amal Kar,
>
> that looks like the output of a LLM and should be treated accordingly with
> suspicion.
>
> The "gdal_translate -of GTiff input_noaa9_file output_filename.tif" line
> is for a shell or terminal. You can try it in the OSGeo4W Shell.
>
> Best share a link to one of the source files in the exact data and file
> format you want to read. Otherwise other people can only guess.
>
> Cheers, Hannes
> On 8/29/26 18:42, Amal Kar via QGIS-User wrote:
>
> Dear Sir,
> I have to read and convert in my QGIS Desktop (v.3.28.15) a large number
> of old AVHRR LAC (Advanced Very High Resolution Radiometer, Local Area
> Coverage) data in 1-km pixel that i downloaded from NOAA-CLASS website (
> https://www.class.noaa.gov/).
> The data is not automatically read by QGIS (in my v.3.28.15 version or in
> the latest version that i also tried). The plugin that enables QGIS to read
> the files is a python script.
> I learn from Google Search the following:
>  " *Troubleshooting & Format Conversion*
>
> If your specific file does not render immediately due to missing header
> extensions or metadata formatting from the NOAA CLASS Archive
> <https://www.class.noaa.gov/>, you can force GDAL to translate it via the
> built-in QGIS processing tools:
>
> ·        *Use the Command Line:* Open the *OSGeo4W Shell* (Windows) or
> Terminal (Mac/Linux) and run the following command to convert it to a
> standard GeoTIFF format:
>
> bash
>
> gdal_translate -of GTiff input_noaa9_file output_filename.tif
>
> ·      *Use QGIS UI:* Go to *Raster* > *Conversion* > *Translate (Convert
> Format)...*, choose your input file, select *GeoTIFF* as the output
> format, and run the process."
>
> Unfortunately, I do not know how to add the above python script in GDAL
> and make QGIS read the files automatically as and when these are mentioned
> in the "GDAL>Raster conversion" tool of QGIS (either as a single file or as
> batch files).
> It will be immensely helpful if you kindly add the script to QGIS to
> permanently allow this beautiful user-friendly GIS software to read and
> convert the NOAA-9 AVHRR L1B LAC data from the NOAA CLASS website. Their
> website is not providing any help. Initially it automatically diverted the
> request to an "Expert" and then became silent; presently it does not accept
> any request.
> The AVHRR daily LAC data at 1 km pixel from 1981 onwards is immensely
> helpful for time-series analysis of environmental changes, when compared
> with the daily MODIS data at 1 km pixel that is available from year 2000.
> Your kind help in inserting the python script in our QGIS will immensely
> help in reading and analysing the old AVHRR LAC satellite data in
> comparison to the present MODIS satellite data.
> With Kind Regards,
> Amal Kar.
> --
> Dr. Amal Kar
> Former Principal Scientist and Head, Division of Natural Resources &
> Environment,
> Central Arid Zone Research Institute, Jodhpur 342003, India
> A-1/6, Baitalik Housing Society, KMDA Housing Complex,
> Baghajatin (Near Hiland Park),
> KOLKATA 700 094, India
> Email: akarcaz50 at gmail.com
>
>
>
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-- 
Dr. Amal Kar
Former Principal Scientist and Head, Division of Natural Resources &
Environment,
Central Arid Zone Research Institute, Jodhpur 342003, India
A-1/6, Baitalik Housing Society, KMDA Housing Complex,
Baghajatin (Near Hiland Park),
KOLKATA 700 094, India
Email: akarcaz50 at gmail.com
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