As a primarily macOS user who works with geospatial data, and laments the lack of native GIS tools on macOS, it’s nice to see this in the app store. However, it seems like releasing this as a QGIS plugin would make more sense (though it would be harder to monetize I guess).
Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
71–77 of 77 posts
Re: Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
#72I heard there is some work going on to import the new extremely high quality relief data from swisstopo into openstreetmap. They are even supposed to be accounting for buildings and forests in order to get the ground level accurately. Not sure where they are right now.
[1]: https://www.swisstopo.admin.ch/en/geodata/height/alti3d.html
[2]: https://www.swisstopo.admin.ch/en/geodata/height/surface3d.h...
Re: Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
#73Earlier quoted context omitted.
As a Swiss guy, I had no idea this was a thing. But then again, I'm also not surprised we needed to have our own special way of doing it.
It seems natural that people living in the mountains would have a robust topographical tradition.
Re: Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
#74Earlier quoted context omitted.
Why is that misleading?
Probably because the predominant direction of light is the south. That would mean lighting it from below, which looks unnatural because we're used to stuff being lit from above.
A good instance of the very simple explanations and theoretical solutions that, "hiding in plain sight", manage to possibly remain unseen for a very long time.
I nearby noted that "you do not cast your shadow on your documents" and that "you gather around a fire facing it". There is something even simpler:
___ the sun is above. ___
So, to represent something with a light coming from "the south" is as unnatural as lighting a face from below.
Re: Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
#75Earlier quoted context omitted.
It has but I am hoping that a paper accomplishing the task with machine learning will move the goalpost (it has happened in other areas of computer vision).
> move the goalpost I don't think I understand your expression there: do you mean that "the problem of producing relief bitmaps from elevation data could lead to new achievements in our knowledge relevant to Neural Nets"? I am not sure why. If you mean, more consistently with your original parent post, "lead to improvements in the past traditional techniques towards the same goal" - I would say that I don't see much…
Re: Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
#76Re: Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
#77I heard there is some work going on to import the new extremely high quality relief data from swisstopo into openstreetmap. They are even supposed to be accounting for buildings and forests in order to get the ground level accurately. Not sure where they are right now.