- Makes videos on maps, data & #OSINT
- Director of Investigations at @cen4infores.bsky.social
- Prev at BBC Africa Eye. Bellingcat contributor.
There are loads of free tools out there. Here are 6 I actually use (and what each is best for).
Thread 👇🛰️
hntrbrk.com/ubiquiti/
hntrbrk.com/ubiquiti/
Google Earth Pro for rough dates, Copernicus for change signals, Esri Wayback for clean before/after.
Google Earth Pro for rough dates, Copernicus for change signals, Esri Wayback for clean before/after.
This month: newbuild identity theft in the shadow fleet, satellite methodologies stacked and how Ubiquiti networking gear ended up powering Russia's drone war.
🧵
This month: newbuild identity theft in the shadow fleet, satellite methodologies stacked and how Ubiquiti networking gear ended up powering Russia's drone war.
🧵
Since Feb 2021, my channel has been about breaking down imagery, tools, tracking world events and sharing methods to democratise OSINT.
Thanks for watching, sharing and nerding out with me 🤓
Since Feb 2021, my channel has been about breaking down imagery, tools, tracking world events and sharing methods to democratise OSINT.
Thanks for watching, sharing and nerding out with me 🤓
If you're only using one tool for satellite imagery, this will show you how they work together.
www.youtube.com/watch?v=-0RQ...
If you're only using one tool for satellite imagery, this will show you how they work together.
www.youtube.com/watch?v=-0RQ...
My workflow would be something like:
1. Google Earth (history)
2. Copernicus (spectral/radar)
3. Wayback/ArcGIS (hi-res compare)
4. Apple/Bing (alt angles)
My workflow would be something like:
1. Google Earth (history)
2. Copernicus (spectral/radar)
3. Wayback/ArcGIS (hi-res compare)
4. Apple/Bing (alt angles)
Best for: cross-checking what you’re seeing, and getting the aerial imagery (when it is available).
Best for: cross-checking what you’re seeing, and getting the aerial imagery (when it is available).
Best for: sanity-checking a location, and (in some cities) using strong 3D building models for context.
Best for: sanity-checking a location, and (in some cities) using strong 3D building models for context.
Best for: getting the clearest freely viewable basemap, and then adding layers (lots of hidden gems like this NZ aerial imagery).
Best for: getting the clearest freely viewable basemap, and then adding layers (lots of hidden gems like this NZ aerial imagery).
Always click for the actual capture date, basemap dates can mislead you.
Always click for the actual capture date, basemap dates can mislead you.
Best for: fires/burn scars, floods, drought, vegetation stress, smoke/haze context. Switch presets like SWIR, false colour, NDVI to reveal patterns you won’t see in normal colour imagery..
Best for: fires/burn scars, floods, drought, vegetation stress, smoke/haze context. Switch presets like SWIR, false colour, NDVI to reveal patterns you won’t see in normal colour imagery..
Best for: “What did this place look like before?”
Use the historical imagery slider to spot change over time (damage, new builds, movement, land use).
Best for: “What did this place look like before?”
Use the historical imagery slider to spot change over time (damage, new builds, movement, land use).
There are loads of free tools out there. Here are 6 I actually use (and what each is best for).
Thread 👇🛰️
There are loads of free tools out there. Here are 6 I actually use (and what each is best for).
Thread 👇🛰️
An impactful investigation by @404media.co and others showed how misconfigured surveillance feeds can end up exposed in the open internet. A brilliant YouTube video from @bennjordan.bsky.social covers this really well. www.youtube.com/watch?v=vU1-...
An impactful investigation by @404media.co and others showed how misconfigured surveillance feeds can end up exposed in the open internet. A brilliant YouTube video from @bennjordan.bsky.social covers this really well. www.youtube.com/watch?v=vU1-...
FAS' guide walks through disciplined imagery analysis using nuclear facilities. No tricks, just good thinking that scales.
fas.org/publication/...
FAS' guide walks through disciplined imagery analysis using nuclear facilities. No tricks, just good thinking that scales.
fas.org/publication/...
AP’s sabotage map linked to Russia shows why patterns matter more than single attributions. Clusters tell the story.
apnews.com/projects/rus...
AP’s sabotage map linked to Russia shows why patterns matter more than single attributions. Clusters tell the story.
apnews.com/projects/rus...
Another “is this AI?” tool. Useful for triage, not truth. Flags first, human checks always. imagewhisperer.org/about
Another “is this AI?” tool. Useful for triage, not truth. Flags first, human checks always. imagewhisperer.org/about
GIJN's scraper guide shows scraping isn’t magic. It’s collect, clean, export. No Python required, just verification.
gijn.org/stories/how-...
GIJN's scraper guide shows scraping isn’t magic. It’s collect, clean, export. No Python required, just verification.
gijn.org/stories/how-...
Project ’44 maps 70,000+ WW2 unit locations. A serious campaign analysis tool, not just a history curiosity.
map.project44.ca
Project ’44 maps 70,000+ WW2 unit locations. A serious campaign analysis tool, not just a history curiosity.
map.project44.ca
A Last Crusade scene geolocated to Almería, Spain. A reminder that old film stills can be remain a ripe group to test feature spotting and matching in geolocations. tinyurl.com/ms3adf47
A Last Crusade scene geolocated to Almería, Spain. A reminder that old film stills can be remain a ripe group to test feature spotting and matching in geolocations. tinyurl.com/ms3adf47
@cen4infores.bsky.social' Red Zone map logs 300+ verified Russian drone attacks in Kherson. Filterable, transparent, and built for pattern-spotting, not headlines.
www.info-res.org/eyes-on-russ...
@cen4infores.bsky.social' Red Zone map logs 300+ verified Russian drone attacks in Kherson. Filterable, transparent, and built for pattern-spotting, not headlines.
www.info-res.org/eyes-on-russ...
Bloomberg shows how DPRK IT workers infiltrate US firms via “laptop farms.” One giveaway: the same office, same gear, visible daily on social media. Backgrounds matter. youtube.com/watch?v=-gjn...
Bloomberg shows how DPRK IT workers infiltrate US firms via “laptop farms.” One giveaway: the same office, same gear, visible daily on social media. Backgrounds matter. youtube.com/watch?v=-gjn...