Mind Map — GEOINT Patterns of Practice
Central concept: GEOINT analysis is pattern recognition across space and time.
Branches
1. Data Sources
- Optical (Sentinel-2, Landsat, commercial)
- SAR (Sentinel-1, Cosmo-SkyMed)
- Thermal (MODIS, VIIRS)
- Altimetry (ICESat, CryoSat)
- AIS/ADS-B
- OSINT
2. Analysis Methods
- Change detection (pixel, object, temporal)
- Object detection (ships, vehicles, aircraft)
- Activity-based intelligence (ABI)
- Movement pattern analysis
- Network analysis (supply routes)
3. Military Applications
- Order of battle
- Facility analysis
- Force disposition
- Threat assessment
- Battle damage assessment (BDA)
4. Civilian Applications
- Disaster monitoring
- Agricultural assessment
- Infrastructure change
- Environmental compliance
5. Tools & Platforms
- QGIS / ArcGIS
- Python (rasterio, GDAL, shapely)
- Google Earth Engine
- Sentinel Hub
- Copernicus Data Space
- STAC API
Cross-Cutting Themes
- Resolution tradeoff — spatial vs temporal vs spectral
- Multi-source fusion — optical + SAR + SIGINT
- Automation — scalable pipelines vs targeted analysis
- Confidence assessment — from pixel to insight