[GRASS-user] Landsat classification with CORINE CLC color codes?

[Dimos]

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 <dimos_anastasiou at yahoo.com> 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
>