Die Karte besteht aus 2,75 Milliarden Gebäudemodellen, die das Team aus seit 2019 aufgenommenen Satellitenbildern zusammengetragen hat.
Von Captain_Hornigold0
Die Karte besteht aus 2,75 Milliarden Gebäudemodellen, die das Team aus seit 2019 aufgenommenen Satellitenbildern zusammengetragen hat.
Von Captain_Hornigold0
15 Kommentare
Link for interactive full resolution map: https://tubvsig-so2sat-vm1.srv.mwn.de/
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India has very fewer buildings compared to China even if they have almost the same population
Europe: Blue Banana (now in red)
This is a cool idea, but it’s not even remotely accurate in my suburb. Only 4+ story buildings are modelled correctly, every low or mid density is not right.
Some suburbs are rendered as dense cities (like Fairfax County, Virginia).
That’s map porn at the finest. Crazy how much data is in this map
Just checked our house and the neighbours, it’s not correct. 😀
No buildings in New Zealand – noted .
is this dataset better quality than the EU’s Global Human Settlement Layer data? that’s what i’ve been using for the last 3 years now
is this dataset better quality than the EU’s Global Human Settlement Layer
Someone in Munich missed his lessons in geography! Kia ora from New Zealand.
The building height attribute is wrong everywhere I checked. This is a super cool project but worthless for any practical application.
Just check Gаzа, there are still 3D building models without buildings in Google Satellite images.
Because this research started before 2023 they unintentionally recorded the wаr crimes.
Looking at Germany is beautiful. Like a Hubble image. But there some data gaps in Argentina, look at El Chaltén for instance