From this thread 🧵 you will learn about 12 key #OSINT-services for gathering information about a certain location.
I'll show it an example of this place:
Bürglenstrasse, 3006 Bern, Switzerland
46.944560,7.467839
(coordinates are defined by latlong.net/convert-addres…)
Step 1 app.skylens.io
Get geolocated posts from #Twitter, #YouTube, #Instagram, #Flickr, #VK (for the last two weeks)
Read about how to get older data below in the thread
Step 2
mattw.io/youtube-geofin…
Search for #YouTube videos on the map, with the ability to filter videos by publication date, duration, channel name and other parameters.
Step 3
photo-map.ru
Search geolocated photos in #VK.
It is possible to filter by user's gender and marital status
Step 4
onemilliontweetmap.com
View geolocated tweets
Step 5
View geotagged photos on #Flickr
flickr.com/map
Step 6
View geolocated retro photos (from 1826 to 2000)
pastvu.com
Step 7
Learn information about significant and interesting architectural sites nearby.
emporis.com/buildings/map
Step 8
See images from nearby surveillance cameras
webcamtaxi.com/en/map.html
Step 9
Examining data from the public cadastral map
cipher387.github.io/collection_of_…
map.geo.admin.ch
Step 10
We research weather conditions in detail and, if necessary, obtain data from the past (for the past two years)
ventusky.com
Step 11
See what air routes pass over the city.
globe.adsbexchange.com
Step 12
We study the routes of public transport that pass near the place under study.
tracker.geops.ch
cipher387.github.io/public_transpo…
This thread is end.
But it tells only a small fraction of the information that can be gathered by location. There are also local conflicts, forest fires, lightning strikes, cats living next door...
More interesting maps at
cipher387.github.io/osint_stuff_to…
Share this Scrolly Tale with your friends.
A Scrolly Tale is a new way to read Twitter threads with a more visually immersive experience.
Discover more beautiful Scrolly Tales like this.