Conflict zone mapping uses freely available geospatial data, satellite imagery, event datasets and crowdsourced social media content to construct verifiable, time-stamped records of where violence occurred, what was destroyed, and which actors were present. The method produces layered spatial outputs: incident maps georeferenced to confirmed coordinates, before-and-after damage assessments, and frontline or control-of-territory overlays. Unlike access-dependent ground reporting, it operates remotely and continuously, allowing investigators to document ongoing hostilities in real time and to reconstruct past events from archived imagery.
The method applies when physical access to a conflict area is denied, when official claims about strikes or ground operations require spatial verification, when control-of-territory timelines need to be established for actor attribution, or when geolocated social media footage must be corroborated against satellite imagery of the same location and date. Radar change detection, optical comparison, and event dataset cross-referencing each address different aspects of the same problem. Each data layer, taken alone, is ambiguous. The pattern, corroborated across satellite, event records, and verified media, is not.
GEP-001 sets out the methodology for acquiring, processing, and corroborating open-source conflict evidence to evidentiary standard.
Eight workflow steps, eight tooling sources, six false-positive checks, six chain-of-custody requirements.
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01
Required Tools
Eight platforms covering SAR imagery, event data, and geolocation verification.
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02
OPSEC
Satellite tasking exposure, metadata sanitisation, and coordinate publication risks.
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03
Workflow
Eight-step sequence from area definition to map export and provenance archiving.
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04
False Positives
Agricultural interference, cloud cover misreads, and politically embedded territory maps.
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05
Chain of Custody
File hashing, layer separation, dataset versioning, and map audit trail requirements.
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06
Key Queries
Five operator queries across ACLED, Copernicus, GeoConfirmed, UNOSAT, and Earth Engine.
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