<div dir="ltr"><div dir="ltr"><div><div class="gmail_default" style="font-family:georgia,serif">Dear Sir,</div><div class="gmail_default" style="font-family:georgia,serif">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 (<a href="https://www.class.noaa.gov/" target="_blank">https://www.class.noaa.gov/</a>).</div><div class="gmail_default" style="font-family:georgia,serif">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. </div><div class="gmail_default" style="font-family:georgia,serif">I learn from Google Search the following:</div><div class="gmail_default"><font face="georgia, serif"> " </font><b style="text-align:justify;background-color:transparent"><font face="georgia, serif">Troubleshooting
& Format Conversion</font></b></div>
<p class="MsoNormal" style="margin:0cm 0cm 6pt;text-align:justify;line-height:15pt"><font face="georgia, serif">If your
specific file does not render immediately due to missing header extensions or
metadata formatting from the <a href="https://www.class.noaa.gov/" target="_blank"><span style="color:blue">NOAA CLASS Archive</span></a>, you can
force GDAL to translate it via the built-in QGIS processing tools:</font></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 35.7pt;line-height:15pt"><font face="georgia, serif">·<span style="font-style:normal;font-variant:normal;font-size-adjust:none;font-kerning:auto;font-feature-settings:normal;font-stretch:normal;line-height:normal">
</span><b>Use the Command Line:</b> Open the <b>OSGeo4W Shell</b> (Windows) or Terminal
(Mac/Linux) and run the following command to convert it to a standard GeoTIFF
format:</font></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 49.65pt;line-height:normal"><font face="georgia, serif" style="background-color:rgb(255,255,0)">bash</font></p>
<p class="MsoNormal" style="margin:0cm 0cm 3pt 49.65pt;line-height:normal"><font face="georgia, serif" style="background-color:rgb(255,255,0)">gdal_translate
-of GTiff input_noaa9_file output_filename.tif</font></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 36pt;text-align:justify;line-height:115%"><font face="georgia, serif"><span lang="EN-GB">·<span style="font-style:normal;font-variant:normal;font-size-adjust:none;font-kerning:auto;font-feature-settings:normal;font-stretch:normal;line-height:normal"> </span></span><strong><span lang="EN-GB">Use
QGIS UI:</span></strong><span lang="EN-GB"> Go to <strong>Raster</strong> > <strong>Conversion</strong>
> <strong>Translate (Convert Format)...</strong>, choose your input file,
select <strong>GeoTIFF</strong> as the output format, and run the process.<span class="gmail_default" style="font-family:georgia,serif">"</span></span></font></p><div class="gmail_default" style="font-family:georgia,serif"><br></div><div class="gmail_default" style="font-family:georgia,serif">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).</div><div class="gmail_default" style="font-family:georgia,serif">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.</div><div class="gmail_default" style="font-family:georgia,serif">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.</div><div class="gmail_default" style="font-family:georgia,serif">With Kind Regards,</div><div class="gmail_default" style="font-family:georgia,serif">Amal Kar.</div></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><font color="#0000ff">Dr. Amal Kar</font><div><span style="background-color:rgb(255,255,255)"><font color="#660000" size="2" face="times new roman, serif">Former Principal Scientist and Head, Division of Natural Resources & Environment,</font></span></div><div><font style="background-color:rgb(255,255,255)" color="#660000" size="2" face="times new roman, serif">Central Arid Zone Research Institute, Jodhpur 342003, India</font></div><div><span style="color:rgb(0,0,255)">A-1/6, Baitalik Housing Society, KMDA Housing Complex,</span><br></div><div><font size="2" color="#0000ff">Baghajatin (Near Hiland Park),</font></div><div><font size="2" color="#0000ff">KOLKATA 700 094, India</font></div><div><font size="2" color="#0000ff">Email: <a href="mailto:akarcaz50@gmail.com" target="_blank">akarcaz50@gmail.com</a></font></div><div><br></div><div><br></div></div></div></div>
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