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It's quite amazing and simultaneously ridiculous that we have a public 3D model of a distant planet at 5 meters resolution while the best available free and public models of Earth are at 30 meters.
It looks like the planet was almost torn in half.
(Turn on "MOLA Topography"-layer to see it)
For anyone who studies Martian geology: What is the deal with the 5km deep gorge extending for 1000's of km around -70.654932°, -11.473828°? It looks like the planet was almost torn in half. (Turn on "MOLA Topography"-layer to see it)
For anyone who studies Martian geology: What is the deal with the 5km deep gorge extending for 1000's of km around -70.654932°, -11.473828°? It looks like the planet was almost torn in half. (Turn on "MOLA Topography"-layer to see it)
https://en.wikipedia.org/wiki/Martian_dichotomy
Edit: Very obvious in Google Maps Mars:
Earlier quoted context omitted.
Are there photos anywhere? The 3D viewer's just showing black for me. (Viewer itself loaded, but as though no data specified/loaded - except what I assume are different views to jump to listed at the bottom.)
Downloadable dataset here: https://murray-lab.caltech.edu/CTX/V01/tiles/ Please do not hammer the service unnecessarily, it's nice that they offer this publicly so lets not ruin the commons here.
Earlier quoted context omitted.
it's surface area also a lot smaller
However, the total surface area of Mars is roughly equal to the total land area of Earth.
It's quite amazing and simultaneously ridiculous that we have a public 3D model of a distant planet at 5 meters resolution while the best available free and public models of Earth are at 30 meters.
Doesn't google earth use 1 meter resolution in certain areas?
Earlier quoted context omitted.
On top of that isn't the lower resolution on earth more for military reasons than a technical one or is this not the case any more?
Hasn't been really the case since french airbus started offering highres global imagery. If you have deep pockets, you can buy 30cm/px (i.e. order of magnitude better than this Mars dataset) images of pretty much anything.