The Onshore sub-line of the LillieWatch™ product family. Sentinel-1 SAR, VIIRS thermal, TROPOMI SO₂, and Sentinel-2 NDVI fused through a calibrated machine-learning classifier. The regional view, six pipeline corridors, and four export terminal clusters, each with its own historical baseline. LillieWatch™ Offshore (FPSO, platform, and EEZ surveillance) is designed in the architecture and reserved for Year-2 build.
Operational
An operational dashboard built for response, not advocacy. Coverage spans the regional Niger Delta view, six major pipeline corridors, and four export terminal clusters, each with its own calibrated baseline and revisit-based alert layer.
Niger Delta regional overview, six pipeline corridors (TNP, NCTL, Trans Forcados, Trans Escravos, Trans Ramos, Qua Iboe), and four export terminal clusters.
Sentinel-1 SAR, VIIRS thermal, TROPOMI SO₂, , Sentinel-2 NDVI, Landsat surface temperature, and high-resolution optical, combined through a calibrated ML classifier for high-confidence detection.
Alert pipeline runs on each usable satellite pass. Cached historical baselines support rapid anomaly detection.
Independent technical review by collaborating satellite analytics firms. US validation deployments across Indiana, Louisiana, and the BP Whiting Refinery demonstrate methodology portability.
No single satellite sensor produces reliable crude oil theft alerts on its own. Each has gaps the others fill: clouds defeat optical imagery, thermal detects only active heat, SO₂ requires UV penetration. The trustworthy signal is where multiple sensors agree.
Two views from this week's production runs. The regional dashboard shows multi-sensor metrics at scale. The corridor drilldown shows the same methodology applied to a single pipeline, locating specific candidate combustion sites.
The oil-producing belt tiled and scored. Each tile is classified, illegal refining, legal flare, spill, tap, or clearing, and every candidate opens a per-tile breakdown across thermal, radar, optical, gas, and infrastructure context. Revisit-based, not a live feed; candidates are raised for analyst verification, never as confirmed events.
Trans Niger Pipeline corridor. 69 persistent thermal radiance hotspots grouped into 13 candidate combustion sites via DBSCAN spatial clustering. Each labeled site is a specific lat/lon a patrol could be dispatched to.
At each site, detections appear as candidates with the sensors that agree and a confidence level. An analyst confirms, rejects, or marks unsure, and every verdict trains the model. Nothing is shown as confirmed until a human has reviewed it.
The regional dashboard tells you where to look. Site Watch tells you whether what you are looking at is real, and whether it is still there.
Pick a watched location, then watch six weeks of weekly imagery across the core sensors in the same view. Pre-raid: agreement across thermal, SAR, SO2 and NDVI is the signature of a working bunker. Raid week: a coordinated collapse confirms the strike worked. Post-raid: continued silence confirms the site is dismantled; renewed activity on any single sensor flags possible re-emergence and re-tasks the field team.
Bunkers are routinely rebuilt within two to six weeks of a strike. Without a multi-week, multi-sensor view, that pattern is invisible. Site Watch makes it routine.
This chart pulls directly from the latest scan output our pipeline has written. No staging, no demo data. It is the same view an operator on our system sees.
The dashboard is the same system described above, running on real pipeline output. Switch between AOIs in the region dropdown.
The same multi-sensor engine now watches Nigeria's mineral belts: illegal and artisanal mining, reconciled against the national mining cadastre.