This is very cool! How feasible would it be to take a video instead of a photo, then using landmark detection and a stitching algorithm such as SIFT to cover a larger surveying area?
This is 5h of a single video from EWR to SFO by a former colleague. Turns out even a dumb trick like this still is enough to pick out a bunch of geographical features!
OpenDroneMap can do that for example.
With this, you can retrieve depth information by correlating the difference in position of easily identifiable points, and recreate the scene as a mesh.
This is basically the basis of photogrammetry as I know it. AI solutions may help at various stages to speed up the process too.
Using SIFT or another keypoint detector is one of the ways to do georeferecing. You take a basemap and your image and match keypoints on both then calculate your transformation. There are a few things that make the problem harder than just use SIFT but it is a good starting point.