Fab,<br>
<br>
I found the problem.<br>
There were some differences in color tables of your images.
gdalbuildvrt application from the latest GDAL version reports the issue
when you try to build the vrt file. You're advised to preprocess your
rasters with other tools, such as pct2rgb.py or "gdal_translate -expand
RGB" to operate gdalbuildvrt on RGB rasters instead.<br>
<br>
The reason the red areas were occuring in different areas is that gdalbuildvrt considers only the first file's color table.<br><br><div class="gmail_quote">On Tue, Aug 3, 2010 at 8:36 PM, Tacot <span dir="ltr"><<a href="mailto:cfab13@hotmail.fr">cfab13@hotmail.fr</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"><br>
I think more about the value of data.<br>
<a href="http://osgeo-org.1803224.n2.nabble.com/file/n5368754/PixelRed.jpg" target="_blank">http://osgeo-org.1803224.n2.nabble.com/file/n5368754/PixelRed.jpg</a><br>
<br>
But it's not always the picture on the right which pixels become red; it can<br>
be also the picture on the left.<br>
I have the felling it depends on the range of merging.<br>
<font color="#888888">--<br>
View this message in context: <a href="http://osgeo-org.1803224.n2.nabble.com/GDAL-TRANSLATE-Problem-with-colorimetry-tp5368059p5368754.html" target="_blank">http://osgeo-org.1803224.n2.nabble.com/GDAL-TRANSLATE-Problem-with-colorimetry-tp5368059p5368754.html</a><br>
</font><div><div></div><div class="h5">Sent from the GDAL - Dev mailing list archive at Nabble.com.<br>
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</div></div></blockquote></div><br><br clear="all"><br>-- <br>Best regards,<br>Chaitanya kumar CH.<br>/tʃaɪθənjə/ /kʊmɑr/ <br>+91-9494447584<br>17.2416N 80.1426E<br>