[GRASS-user] [GRASS-dev] Fwd: [OSGeo-Discuss] FOSS4G 2019 Bucharest Call for Contributions Open

[Veronica Andreo]

Hi everyone,

I think we can manage to propose 2 workshops to show how great GRASS is,
no? And the 2 topics  on the table are pretty interesting so, why not?

I plan to propose the time series workshop and everyone interested is
invited to jump in :) We have already done similar time series workshops
and so there's material we could put together and build on from there for
some more innovation. Martin, I count on you then?

However, I'm also pretty interesting in learning more about the OBIA tool
chain (and what best way to learn than having to teach!). So, Moritz, count
on me, though on a secondary role (sort of field assisstant). Machine
learning should be included and deep learning would be a huge plus!!! :)
Will you attend the conference, Ondrej?

Let's keep it rolling :)

Vero

El mar., 5 feb. 2019 a las 13:59, Moritz Lennert (<
mlennert at club.worldonline.be>) escribió:

> Hi everyone,
>
> On 4/02/19 14:34, Veronica Andreo wrote:
> > Hi
> >
> > I plan to attend and I can help if you want to propose a workshop. What
> > about the OBIA processing chain? I would like to take such a workshop
> > indeed ;)
> >
> > Personally, I was thinking on offering a TGRASS workshop (as we did in
> > Paris and elsewhere), something like processing and visualization of
> > time series in GRASS. Help is welcome too :)
>
>
> So, two subjects on the floor:
>
> 1) remote sensing/classification which could include the OBIA tool
> chain, the pixel based options including machine learning (notably
> r.learn.ml) and maybe even something about the deep learning modules
> from Ondrej.
>
> 2) time series
>
> Should we focus on one workshop and bundle our forces, or should we be
> ambitious and offer two workshops ? I'm willing to help with a time
> series workshop, but am less familiar with these techniques.
>
> A hands-on OBIA workshop shouldn't be too difficult to put together, but
> if we want to integrate the r.learn.ml and the deep learning approaches
> I would appreciate some support.
>
> Moritz
>
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