Earlier quoted context omitted.
This guy really is something: > I looked at rock type (Sandstone), color (red and white - no black streaks like found on higher cliffs in Utah), shape (more rounded indicating a more exposed area and erosion), the texture of the canyon floor (flat rock vs sloped indicating higher up in a watershed with infrequent water), and the larger cliff/mesa in the upper background of one of the photos. I took all that and lined…
44 bits. It's relatively well known that 33 distinct bits is enough to uniquely identify any individual person now alive on Earth.[1] Geospatially, assuming 10m resolution, 44 bits is enough to identify any unique location on Earth's land surface (46 bits buys you the oceans). Searching for a ~1m^2 monolith visually within a 10m^2 square is reasonable. GNU units: You have: ln((.3 * 4 * (earthradius^2) * pi)/10m^2)/ln…
Likewise, identifying a random location on earth from a photo is certainly doable, but I would say it has less to do with the logarithm of the surface area of the earth and much more to do with expertise in geography, geology, etc.