- Airbase order-of-battle change detection — Sub-metre optical imagery and Sentinel-1 SAR coherence change let analysts track aircraft presence, shelter occupancy, and apron activity at foreign airbases without setting foot near them. Readiness states can be inferred from open and commercial sources alone.
- Airfield runway repair and reconstruction monitoring — Military runway repair, extension, and crater infill leave measurable spectral and radar signatures. Open Sentinel data flags the change; sub-metre commercial imagery confirms the extent.
- Post-strike battle damage assessment from optical imagery — Pre- and post-event optical imagery can quantify structural collapse, cratering, and fire scarring at military and dual-use sites. Resolution determines what you can actually measure: 0.31 m resolves a vehicle-sized crater; 10 m resolves a city block.
- Border-zone ground-disturbance and incursion monitoring — SAR backscatter change and high-resolution optical differencing can detect vehicle tracks, berm construction, trench digging, and vegetation clearance along contested borders, often within hours of the event. Each method has hard limits that analysts must account for.
- Ceasefire and arms-control treaty verification from open imagery — Commercial satellite imagery has become a primary tool for verifying ceasefire lines, weapon-exclusion zones, and arms-control obligations. This page covers the sensors, observables, resolution requirements, and legal standing of open imagery in treaty monitoring.
- Disinformation rebuttal using dated satellite scenes — Timestamped satellite imagery, combined with shadow-angle geometry, crop phenology and building-footprint comparison, gives analysts a physics-grounded method for refuting false claims about where and when events occurred.
- Electronic warfare emitter geolocation from space — Commercial RF-geolocation satellites use time- and frequency-difference-of-arrival to locate ground-based radars and jammers without intercepting content. Position and frequency, not signals intelligence.
- Military logistics depot throughput estimation — Counting vehicles and railcars in time-series optical imagery reveals supply-chain tempo at depots, fuel farms, and railheads. The method gained public validation during open-source analysis of Russian logistics before the 2022 Ukraine invasion.
- Military encampment growth and force-buildup detection — Optical time-series analysis can quantify tent lines, vehicle parks, and logistics depots as they grow, giving analysts days of warning before a force is ready to move. Revisit cadence is the binding constraint.
- Missile site and launch-facility construction monitoring — Excavation scars, silo-lid geometry, and road extensions into empty terrain are legible from commercial and open satellites long before a facility is declared. This page documents the published OSINT methodology used to identify missile garrison construction worldwide.
- Naval mine-laying pattern detection from SAR and optical — SAR and optical imagery can reveal mine-laying activity through vessel track geometry, speed profiles, and ship-type confirmation, even when transponders are off. The method identifies suspicious behaviour; it cannot confirm mine presence or density.
- Naval vessel presence and port-activity monitoring — SAR backscatter and optical imagery reveal warship berth occupancy, submarine pen access, and underway movements even when AIS is silent. Cross-referencing transponder gaps against detected hull signatures is the core method.
- Night-light blackout mapping in conflict zones — VIIRS Day/Night Band radiance time-series can document the collapse of electrical infrastructure during conflict with sub-monthly precision. Distinguishing deliberate blackout from grid damage from population flight requires careful method design.
- Conflict-driven displacement and refugee camp monitoring — Optical time-series and structure-counting methods track the emergence and growth of refugee and IDP camps, turning shelter density and roof-shadow geometry into population proxies. Honest about cloud cover, resolution limits, and the ethical weight of imaging civilian populations.
- SAR coherence-loss damage detection in denied or clouded areas — When buildings collapse or ground is disturbed, the radar signal that bounced predictably from a surface stops bouncing the same way. Interferometric coherence loss between repeat SAR passes makes that change legible even under cloud, smoke, or access denial.
- Thermal anomaly detection for military activity inference — Spaceborne thermal and shortwave infrared sensors detect heat signatures from aircraft engines, vehicle exhausts, and burning materiel. Open data from Landsat and ASTER provides the baseline; commercial SWIR adds resolution where it matters.
- Underground facility detection from surface signatures — Subsurface military construction leaves measurable marks above ground. Combining InSAR deformation mapping with high-resolution optical analysis of spoil heaps, shaft arrays and access infrastructure lets analysts infer underground activity before a facility becomes operational.
- Weapons storage site inventory-change detection — Sub-metre optical imagery and SAR coherence analysis can track munitions stocks, armoured vehicle parks, and weapons storage areas with enough fidelity to detect significant inventory changes between passes.