I am working on a project for my school, the projects are unique and based on real world problems so there really could not be a solution.

So here it goes. I have a bunch of photos of fields, some of which go back ~10 years all at the same locations and supposed to be in the same direction. There is a weather tower at each location and the technician were supposed to stand 10 feet from the tower North and take pictures in the direction of North, North-East, East, etc. Some of these images were taken with an old camera that had like a 4:3 aspect ratio and some are taken on cell phones from many different types in both landscape and horizontal mode. I will attach some of the photos to this for example.

The idea is that we need to find objects that are within 100 meters of the tower that might hinder it's ability to gauge the wind and other weather elements. We should be able to find Distance and Size of objects so we can rate how accurate a tower should be. I have looked up this quite a bit and can't find anything on how to actually do this. Someone pointed to ImageJ and another pointed to ImageAI but I can't figure out how it would find distance even if the images were all standard. From what I have been able to find it shouldn't be a problem to use AI to find distance if we have two pictures at the same angle and we know that distance between the two. But we only have one of each.

We went to one of the towers and took some with one person from our group standing 100 ft away from the camera to get an idea of what 100 feet from the tower should look like. and took pictures in the cardinal directions. I will post some of these as well.