Disciplines

🛰 Imagery Intelligence (IMINT)

🔍 Lookup

📊 Pre-built Queries · Imagery Intelligence

📜 Playbook — Imagery Intelligence collection

1. Direction — frame the requirement for Imagery Intelligence: what decision does this support, by when?
2. Collection — collect from the 0 mapped sources (0 free) — filter the catalog by IMINT; capture provenance and observe OPSEC.
3. Processing — normalize, de-duplicate and enrich the collected data.
4. Analysis — correlate against local holdings; apply ACH; assign confidence.
5. Dissemination — open a case, draft a report, share via STIX/MISP.
6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🗃 Data Management

🧩 Advanced Capabilities

✨ Enrichment pathways

🎯 Mission

IMINT collects and exploits imagery from electro-optical, multispectral, thermal and synthetic-aperture radar (SAR) sensors to identify objects, count order-of-battle, and assess damage and activity at specific sites. It answers what is present at a location, what condition it is in, and how it has changed between looks.

📡 Collection methods

• Electro-optical image exploitation for equipment identification and PID
• SAR/radar interpretation for all-weather, day-night detection and coherent change
• Multispectral and thermal band analysis for camouflage, effluent and heat signatures
• Stereo/photogrammetric measurement of object dimensions and structure heights
• Battle-damage assessment (BDA) via crater and structural analysis
• Image forensics (EXIF, error-level analysis) on sourced photos and video

📚 Key sources & datasets

🎫 Data points produced

🔧 Tools & frameworks

• QGIS
• ESA SNAP
• FotoForensics/ELA
• Google Earth Pro
• OpenDroneMap
• ImageJ

📜 Imagery Intelligence Tradecraft

1. Acquire EO, multispectral and Sentinel-1 SAR frames over the target and pull Maxar/Umbra open-data tiles for events.
2. Speckle-filter SAR, pan-sharpen EO, stack thermal and multispectral bands, and run ELA on sourced photos.
3. Exploit imagery for equipment identification, order-of-battle counts and damage assessment using shadow-height and measurement tools.
4. Confirm object identity against reference signatures and assign a NIIRS/PID confidence rating.
5. Issue exploitation reports with annotated image chips and measured dimensions.
6. Trigger re-look tasking and hand geolocated coordinates to GEOINT and targeting.

📊 Dashboard KPIs

🔍 Pre-built queries

🔗 Cross-discipline pivots

🗃 Data Management

🧩 Advanced Capabilities