[SoC] OSM Level of Detail for GSoC 2017

[Margherita Di Leo]

Dear Balázs,

thanks for the heads up and for the detailed description of your
interesting project. As OSGeo we will submit an application to Google to
participate as a mentoring org also this year, but it is never too early to
start discussing gsoc ideas. Do you want to participate as a mentor or as a
student? It seems to me that your project is more related to OSM than to
any OSGeo software, do I understand correctly? In the past, OSM has
participated to gsoc under the OSGeo umbrella, but in recent years its gsoc
participation is grown bigger and they decided to apply on their own. I
don't know their plans for next year, you'll definitely have to check this
with them, and moreover, the final word is Google's selection of mentoring
orgs. Keep us posted.

Best regards,

On Fri, Dec 16, 2016 at 1:28 PM, Balázs Dukai <balazs.dukai at hotmail.com>
wrote:

> Hello everyone,
>
> as I'm a newcomer to this list please let me introduce myself. My name
> is Balázs Dukai, I'm currently studying geomatics engineering at TU
> Delft, Netherlands and I was not active in the OSGeo community until
> now. This summer (2016) I participated in the GSoC, however under the
> umbrella of the R project and I developed a package to manage animal
> trajectories in PostGIS and R[1,2]. Since then I started working on my
> thesis which brings me to this mailing list.
>
> In my research I'm developing a method to automatically infer the Level
> of Detail (as in CityGML) of heterogeneous 3D city models. Experience
> shows that several 3D city models contain buildings that are tagged as
> e.g. LOD2, however they are modeled as LOD1. This heterogeneous data
> negatively influences the accuracy of analysis that depends on the 3D
> geometry, such as energy profiling, solar irradiation, wind flow
> analysis. Also it is good to know that the data set one purchased is
> truly in-line with its description, e.g. all buildings are really LOD2.
> Visually assessing the LOD of each building is not feasible at a city
> scale, hence the automatic inference.
>
> Now, in order to have an idea about the LOD of the 3D building, a good
> way to start is to evaluate its footprint. As the geometric detail of
> the footprint indicates the geometric detail of the building. My
> assumption is that having an indication (a tag maybe) of the detailed
> LOD[3] of the 2D building footprints in OpenStreetMap could provide some
> benefits, such as
>
> + identify areas where the buildings are mapped in a low LOD and
> could/should be improved,
>
> + users could easily see the LOD of buildings (LOD tag) when
> programmatically querying/downloading OSM data and better evaluate its
> fitness-for-purpose.
>
> Therefore I propose that in the scope of GSoC 2017 I work towards a
> tool/method that automatically appends the detailed LOD[3] tag to
> building footprints in OSM. Maybe even the potential LOD of the 3D
> building that can be generated with tools such as OSM2World...
>
> My thesis is still in an initial phase but I'll have my method clear by
> February and I plan to submit in May-June.
> The reason why I wrote this general mailing list and not to the
> osm-tagging list is that I'm very curious about any idea, critic on my
> thesis or GSoC project idea. So I hope this will open a discussion.
>
> I was thinking to target the osm-tagging list but I'm not sure if that
> is the most appropriate. Could you advise me is this matter as well?
>
> [1]: https://github.com/mablab/rpostgisLT/wiki/GSoC-2016
> [2]: https://cran.r-project.org/package=rpostgisLT
> [3]: http://www.sciencedirect.com/science/article/pii/S0198971516300436
>
> Best regards,
> --
> Balázs Dukai
> MSc Geomatics engineer candidate | MEng Landscape architect
> The Hague, Netherlands
> LinkedIn: www.linkedin.com/in/balazsdukai
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-- 
Margherita Di Leo
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