Geolocating a random island using geometry and CUDA programming
A developer describes their process for geolocating an island from a photograph using geometry, custom Python scripts, and OpenStreetMap data. The author intentionally avoided using AI tools to solve the challenge, opting for manual mathematical modeling instead.
Why it matters
This demonstrates the intersection of open-source geospatial data and computational problem-solving in the context of digital forensics.
NOTE: this is a genuine human work, didnt use LLM generation.
I'm writing this page as a writeup for this challenge gralhix 004 made by Sofia Santos | Gralhix .
You can view, clone and locally try all code files and the final report with all instructions here at github.
This is a photo of a resort located on an island.
a) What is the name of the resort? b) What are the coordinates of the island? c) In which cardinal direction was the camera facing when the photo was taken?
In my opinion, solving this challenge with google lens is wasting a fun opportunity, so decided to solve it with math and programming.
Of course, first thing u look for is the metadata . Ran that on my linux void :
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