How to read geographic risk from satellite data — tutorials, case studies, and technical insights.
methodology
Which public scales define how severe a single event is, which kinds of events have no public scale at all, and how Off-Nadir Delta's Delta Impact Scale assigns a level from them.
Four kinds of event built from instruments and official records instead of news: a city's night lights, sulfur dioxide over a volcano, an earthquake near a facility, and a cyclone's forecast wind field. What each records, and what it leaves open.
A transit anomaly is a count of ships through a strait or canal that has left that place's own usual level. How transits are counted from AIS, what moves the count besides a disruption, and how to read it without guessing a cause.
A thermal anomaly is a satellite pixel flagged as hot. At a refinery or power plant most of them are routine. How NASA separates static heat sources, and how to compare a heat source with its own past.
How to use NASA FIRMS fire detections and Sentinel-2 burn scars together to confirm that a reported fire or explosion happened, and to narrow down when, with the limits of each source.
Where to look for the newest free satellite image of a location, how recent each source can be, why map apps are not live, and how to tell the date of the image in front of you.
How to monitor a port, airfield or plant over time with free Sentinel imagery: choosing what to measure, why a baseline matters, how unusual readings are flagged, and what a watch can and cannot tell you.
A step-by-step OSINT workflow for checking a reported fire, strike, flood or build-up against free Sentinel-1, Sentinel-2 and NASA FIRMS data, and for writing down what the imagery can and cannot support.
What free 10 m Sentinel-2 and Sentinel-1 imagery can and cannot show for the things OSINT analysts ask about: vehicles, buildings, ships, airfields, fires, floods and earthworks.
Most collection planning asks when a place can be imaged. The harder question is whether the image could change anyone's mind. Here is how to compute the diagnostic value of an observation before you pay for it.
In relief, a large share of a SAR scene can be unmeasurable before you look at it. The geometry is arithmetic — slope against incidence angle — so it can be computed for a specific pass instead of guessed at.
Continuous satellite monitoring splits into two jobs that get confused constantly — measuring a quantity over a polygon and watching an area for events. Which one you set up decides whether your watch says nothing or says too much.
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