- 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.
- Amphibious assault staging and landing-craft concentration monitoring — Flat-bottomed landing craft and vehicle staging aprons produce distinctive radar and optical signatures that betray amphibious force preparation. This page explains the sensor physics, honest revisit limits, and analytic methods used to monitor coastal marshalling areas.
- Armoured vehicle dispersal and hide-site detection — Sub-metre optical imagery and X-band SAR backscatter anomalies can reveal armoured vehicle dispersal from garrison to hide positions, as demonstrated publicly during the 2022 Russian pre-invasion build-up. Each sensor method has hard limits that any honest analyst must state.
- Artillery firing-position and impact-crater density mapping — Sub-metre optical and SAR imagery can map shell-crater density, orientation, and gun-pit scrapes across contested terrain, supporting probabilistic back-azimuth estimation of firing positions and bombardment-intensity assessment.
- Road-mobile ballistic missile launcher dispersal tracking — Transporter-erector-launchers are designed to disappear into terrain, but high-revisit optical and SAR imagery can bound their probable locations during dispersal. The method is probabilistic, not continuous, and fails completely under canopy or inside tunnels.
- 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.
- Chemical weapons precursor production facility activity monitoring — Open-source satellite imagery can reveal chemical weapons precursor activity through tank-farm changes, effluent discolouration, thermal signatures and vehicle traffic. This page documents the published OSINT methods, sensor capabilities and honest detection limits.
- Coastal obstacle and beach-defence emplacement monitoring — Anti-landing obstacles, wire barriers and beach-defence structures leave detectable signatures in very-high-resolution optical imagery at low tide and in X-band SAR. This page explains the physics, the sensors, and the honest limits of what space-based monitoring can and cannot see.
- Deliberate agricultural and food-system destruction mapping in conflict — Satellite time-series can distinguish deliberate crop destruction from drought or seasonal die-back by combining NDVI anomaly timing, SWIR char signatures and SAR-detected structure collapse, building on published UNOSAT and FAO assessments of Yemen, Syria and Ukraine.
- Road checkpoint and vehicle-queue monitoring in conflict zones — Sub-metre optical imagery from commercial constellations can detect newly established road checkpoints, measure vehicle-queue length and identify barrier structures within hours of tasking. Coarser sensors provide queue-context but cannot resolve checkpoint infrastructure from ordinary roadside activity.
- Physical consequence mapping of cyber attacks on infrastructure — When a cyber-physical attack on a power station or water plant is suspected and ground access is denied, optical and SAR change detection provides the evidentiary layer that intelligence reports alone cannot. Coherence loss, thermal change and night-light collapse each tell a different part of the story.
- Decoy and dummy equipment discrimination from real military assets — Inflatable decoys and wooden mock-ups fool the eye but not the thermometer. Multi-spectral and thermal cross-referencing exposes the difference between real metal and a convincing replica.
- 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.
- Drone base and UAV operating infrastructure detection — Tactical UAV operating bases occupy a fraction of the ground a manned airfield needs, but sub-metre optical and SAR imagery reveals the shelters, launch rails, antenna arrays and generator pads that betray them. Open-source analysis of Shahed-series sites has already proved the method works at scale.
- 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.
- Field hospital and forward triage site detection from imagery — Very-high-resolution optical and thermal sensors can identify field medical facilities by their physical signatures: tent clusters, vehicle parks, generator heat and freshly cut access tracks. Detection is possible but unambiguous identification requires sensor combinations and honest tolerance for residual ambiguity.
- Forward air-defence battery emplacement and redeployment tracking — Very-high-resolution optical and SAR imagery reveals the revetment geometry, antenna shadows and vehicle parks that characterise surface-to-air missile batteries. Sequential scene comparison tracks redeployment, though decoy emplacements of similar geometry create a persistent false-positive problem.
- Military fuel depot tank-volume and stock-change estimation — Floating-roof depression geometry in very-high-resolution optical imagery, combined with SAR double-bounce signatures, lets analysts estimate liquid fuel stock levels at military storage facilities without setting foot inside the perimeter.
- 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.
- Mass grave and conflict burial-site surface disturbance detection — Freshly disturbed soil has a distinct spectral and dielectric signature detectable from orbit. The window is narrow: vegetation regrowth begins masking evidence within weeks, making rapid multispectral and SAR revisit the difference between documentation and impunity.
- Aircraft dispersal revetment and hardened shelter construction monitoring — New revetments and hardened shelters signal a shift from peacetime to wartime basing posture months before aircraft arrive. Shadow geometry, SAR backscatter change and construction-sequence analysis make that shift legible from open and commercial imagery.
- 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.
- Protected site compliance monitoring for military hospitals and cultural heritage — Satellite change detection tracks whether facilities protected under international humanitarian law show evidence of military use or deliberate targeting, producing dated visual evidence admissible in accountability processes.
- Military training exercise tempo and scale monitoring — High-revisit optical and SAR imagery can quantify how often, how large, and where military forces train. Separating a rehearsal from a real deployment requires honest reading of observable indicators, not inference of intent.
- 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.
- Nuclear facility operational-status change detection from open imagery — Multispectral and thermal open imagery can reveal operational changes at nuclear facilities, from cooling-tower plume behaviour to vehicle surges, without access to classified data. Surface signatures are real; subsurface enrichment is not.
- Pontoon and military bridging construction monitoring — Military pontoon bridges produce distinct physical signatures detectable by high-revisit optical and SAR sensors. This page explains the physics, the sensors, and the honest limits of remote detection.
- Port blockade and commercial shipping denial monitoring — SAR vessel detection cross-referenced with AIS gaps reveals whether a declared naval blockade is holding. Berth occupancy, anchorage density and cargo-handling signatures complete the picture where transponders go dark.
- Prisoner of war and detention facility detection from imagery — Sub-metre commercial imagery can reveal newly built detention compounds through perimeter geometry, guard-tower shadows and barrack density. Timeline reconstruction from Planet and Maxar archives supports legal documentation and accountability investigations.
- Rail network military freight and rolling-stock movement monitoring — Concentrations of military rolling stock at rail yards are visible days before a force moves. High-revisit optical and SAR imagery, cross-referenced against track-usage signatures, turns that signal into structured intelligence.
- 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.
- Ship-to-ship cargo transfer detection for sanctions evasion monitoring — Vessels conducting illicit ship-to-ship transfers routinely disable AIS. Combining SAR-detected vessel pairs with AIS gap analysis exposes the rendezvous that sanctions regimes depend on hiding.
- 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.
- Space launch facility launch-readiness and vehicle rollout monitoring — Pre-launch ground operations at orbital and sub-orbital complexes follow a documented sequence visible in commercial satellite imagery. Transporter-erector movement, propellant tanker presence and flame-trench flooding provide days of warning before ignition.
- Special operations forward operating base and austere airstrip detection — Austere forward bases leave faint but readable marks: unpaved strips, radial vehicle tracks, sparse shelters. Multi-temporal optical analysis turns those surface scars into intelligence.
- Submarine base pier activity and sortie-rate inference — Optical and SAR imagery of submarine berths reveals vessel presence, pier-side equipment states and sortie patterns. Submerged boats are invisible to every open-source sensor; only surface and pier-side signatures are observable.
- 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.
- Trench network and field-fortification construction mapping — SAR coherence loss and sub-metre optical shadow analysis can map trench-line excavation within days of breaking ground. The method has a hard floor: slit trenches narrower than roughly one metre defeat most commercial SAR at standard modes.
- 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.