John,<br><br>Try gdaladdo [1] with the resampling algo set to 'mode'. If you use the -ro option, it will create an external overview. Check your output with different combinations of levels.<br><br>[1]: <a href="http://www.gdal.org/gdaladdo.html">http://www.gdal.org/gdaladdo.html</a><br>
<br><div class="gmail_quote">On Fri, Jan 27, 2012 at 5:09 AM, John Twilley <span dir="ltr"><<a href="mailto:mathuin@gmail.com">mathuin@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
I am working with elevation and landcover data downloaded from the<br>
USGS. I use gdalwarp to convert the data to a much smaller pixel. The<br>
elevation data works very nicely with cubic resampling, but the only<br>
resampling that works at all for the landcover data is<br>
nearest-neighbor and that's very blocky. When I last worked with<br>
landcover data, I used a majority algorithm which produced smoother<br>
output -- but that algorithm is not implemented in gdalwarp.<br>
I am looking over the source to gdalwarp to see how hard it is to add<br>
a new algorithm. Other than that, though, what options are available<br>
to me? Thanks in advance!<br>
Jack.--<br>
mathuin at gmail dot com<br>
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</blockquote></div><br><br clear="all"><br>-- <br>Best regards,<br>Chaitanya kumar CH.<br><br>+91-9494447584<br>17.2416N 80.1426E<br>