If you are using satellite imagery in your coverage of conflict areas, I encourage you to use @sentinel_hub imagery with custom scripts (available on @github - github.com/sentinel-hub/c…). For example, take a look at this village in north Nigeria ( 12.050973, 13.995915). Thread 👇
On @googleearth, the fires in the village @ 12.050973, 13.995915 on February 8, 2018, are barely noticeable - but we can easily identify this by customising the way we look at the earth. goo.gl/maps/72khpC9HN…
One specific script from @Pierre_Markuse provides wildfire visualization (github.com/sentinel-hub/c…) - in using this on the Nigerian village, we can see how easy it is to identify current burning buildings.
Using @github scripts in conjunction with satellite imagery may seem intimidating for some, but it is a simple 'cut and paste' (as you can see in the image). Testing and trialling different values through @sentinel_hub can also yield some amazing results.
An aspect of this work is analyzing the after-effect of fire-damaged structures in conflict areas where the cause may have been intentional. For more on this, you can view a small guide using satellite banding to identify burnt villages on @bellingcatbellingcat.com/resources/how-…
Sentinel-2 imagery from #Nigeria, east of Maiduguri, combined with custom rendering, highlights an array of fires that were burning in October. The custom script identifies the current status of the fire and the path it is taking. @sentinel_hub#geoint#remotesensing
Satellite imagery helps you understand what’s happening on the ground, from above.
There are loads of free tools out there. Here are 6 I actually use (and what each is best for).
Thread 👇🛰️
1. Google Earth Pro = historical context.
Best for: “What did this place look like before?” and annotating the imagery (i.e using pins).
Use the historical imagery slider to spot change over time (damage, new builds, movement, land use).
2. Copernicus Browser = more than an image.
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.
I have received a number of messages asking about the location of this IL-76 (RA-76502) from Russian Aviacon Zitotrans (usually responsible for arms cargo).
It is not landing in Sudan (alleged in the comments), but is landing in Faya-Largeau in northern Chad. More in thread 👇
I identified an original and more clear version on TikTok (not hard if you want to find it). In it, we can see the registration number of the plane much more clearly, as well as the dune and cliffs in the background.
The registration, RA-76502 that had been owned by JSC Aviacon Zitotrans, named by US as "a Russian cargo airline that has handled cargo shipments for sanctioned Russian Federation defense entities".
This festive season I’m sharing a video every day for the next 24 days showing useful OSINT tools & techniques. Creating this OSINT Advent Series has been a lot of fun and I hope it’s helpful for the ever-growing OSINT community! 🎄👇
1. Searching Facebook with WhoPostedWhat.
2. Using AI to identify a car model in an image with Carnet.
Today is #WorldMentalHealthDay. As digital investigators we're often not experiencing what we see online, in real life, but it can still affect many.
So to keep doing the important documentation and investigative work online, here's a few practical steps you can take.👇
1. When sharing graphic content with colleagues and friends, remove those previews and give a little graphic warning indicator. There's always a little 'X' in the corner to remove preview.
2. Consider changing the settings on your social media platforms so you're not absorbing horrific content while doomscrolling. You don't have to filter it out, but at least stop the autoplay.
I was recently on a flight across Australia when I spotted this massive figure on the ground. It led me on a digital journey to find out what it was, how it got there and who made it.
I'm going to explain a bit more about what it is in this thread, and how I found out. 👇🧵
Without internet on the plane, I made a screenshot on my phone of the location (yes it was on flight mode) and later used flight tracking to pinpoint exactly where I saw it.
Using @flightradar24, I traced the path my plane took and found the spot!
Next stop: @googleearth 🗺️
I zoomed into the area and there it was — this huge humanoid figure etched in the Australian outback. Measuring 2.7km tall and covering an area of more than 1.7 square kilometres, it's a sight to behold.
Despite our reporting last week on the fake network of pro-Trump MAGA accounts, there appears to be many more accounts actively posting the exact same content. This one, @brenda_otto_ with 18k+ followers, is stealing photos from an Australian Instagram model in Queensland.
Here's another fake MAGA account, @Tracy_Miller044, stealing images from a fashion blogger (a popular one too).
@Tracy_Miller044 - if you want to reach out and talk about your work, why you're running these campaigns etc, I'm open.
Here is @Sarah_Hickey__
Sarah is stealing the photos of a Czech Instagram influencer to create a persona claiming to be a MAGA republican conservative with 40k+ followers and a blue tick (which means it's apparently not misleading).