Thanks for the great input! I just want to create a high resolution land use map, based on an already existing classification such as CORINE using Landsat data: I will follow your instructions as below.
Regards, Dimos On Mon, 2009-01-19 at 12:40 +0100, Nikos Alexandris wrote: > 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
