[bobxmax]

If you know the flight and the date and time you can easily pinpoint exactly where the plane was and where it was heading. Not incredibly challenging at that point to narrow in on roughly where the photos were taken from.

[echoangle]

Well we already know it roughly, it's Indira Gandhi International Airport in New Delhi.

[gruez]

>If you know the flight and the date and time you can easily pinpoint exactly where the plane was and where it was heading.

You'd still need reference data from the photo to triangulate where it was taken from. A blurry 600x600 photo is going to have plenty of uncertainty.

>Not incredibly challenging at that point to narrow in on roughly where the photos were taken from.

Most people probably don't care as long as it doesn't pinpoint a specific address.

[cess11]

I'm under the impression that the OSINT crowd routinely comes to more impressive conclusions based on worse source material.

[Aspos]

Those red-green navigation lights are enough. There is only one aircraft position which would satisfy a given relative configuration. PI camera has a known field of view and given hundreds of images one could have directions converging pretty accurately.

[bigiain]

Nit pick, it's not using a Pi camera, its using an old Nokia 5.4 phone as a camera.

Also, they're showing (and linking to) FlightRadar24's departure and destination data, it's quite clear they are on one of the approaches to Delhi International (DEL). I don't know how many runways DEL has, but there's no more than 4 possible lines planes take in approach and departure. If i cared enough I could easily work out which of those lines by checking FlightRadar for the history of one of the links, and match the timestamp with the FR tracklog.

Collection 100s of images any attempting to do geometry magic is unnecessarily complicating things. (Which is fine if your goal is to solve complicated problems for fun. But there is a much easier way.)