On Mon, 2009-01-19 at 08:25 +0100, Markus Neteler wrote: > On Mon, Jan 19, 2009 at 7:42 AM, Dimos <[email protected]> wrote: > > Hello, > > > > My apologies if this question is already covered in this list... > > > > 44 CORINE CLC RGB color codes are mentioned for each of the 44 land use > > classes at: > > http://dataservice.eea.europa.eu/download.asp?id=14234&filetype=.csv > > > > Can we classify a Landsat RGB image based on these rgb color codes in > > GRASS GIS and how? > > In my opinion it doesn't make much sense to use the RGB colors here > since they are arbitrary (well, ok, ideally "close" to natural colors). > > What you can do: > - download the related CORINE shape file(s) > - extract training areas > - run i.gensigset to generate statistics > - run i.smap to do the classification > - validate > > Markus
Hi! Markus suggestion is one solution. I just want to add that, if you take samples (=areas) from CORINE (as they are), they can be a bit rough to classify a, let's say, 15m pixel-resolution Landsat satellite image. In my humble opinion, there is no way in this case to completely avoid some manual digitisation of training samples, or edit the samples you will extract from CORINE. Well, it depends also on what (e.g. which land cover classes) you want to extract from Landsat. There is, on the web, a nice step-by-step which uses COREIN + i.smap on Landsat [1]. Dimo, if you could be a bit more precise... ? Kind regards, Nikos [1] http://www.custom-scenery.org/Building-Scener.331.0.html _______________________________________________ grass-user mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-user
