🛰️ Satellite Imagery
Overhead imagery of an area of interest, used for change detection and site analysis.
Geospatial
Sources
0
0 no-auth
Disciplines
0
that use it
Mission domains
0
reach
Workbench
—
native tool
🔗 Analyst pivots
🔍 Lookup
📜 Playbook — Satellite Imagery exploitation
- Direction — frame the requirement for Satellite Imagery: what decision does this support, by when?
- Collection — pull the 0 mapped sources (0 free) and the native workbench; capture provenance and observe OPSEC.
- Processing — normalize, de-duplicate and enrich the collected data.
- Analysis — correlate against local holdings; apply ACH; assign confidence.
- Dissemination — open a case, draft a report, share via STIX/MISP.
- 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).
🧩 Advanced Capabilities
✨ Enrichment pathways
🎫 Satellite Imagery
Satellite imagery is remotely sensed raster data of a location captured by an earth-observation platform, carrying spectral, temporal, and spatial detail. It matters because it provides independent, timestamped ground truth for facilities, movement, damage, and change that no other source can verify.
Format: Georeferenced raster (GeoTIFF/COG/JP2) with bands (RGB, NIR, SWIR, SAR), acquisition timestamp, sensor/platform ID, resolution (GSD in m/px), and scene ID (e.g. Sentinel-2 tile, Landsat path/row).
📡 How it is collected
- Query open EO archives by AOI and date
- Tasking or browsing tile/scene catalogs
- SAR acquisition for cloud/night coverage
- Fire/thermal anomaly feed subscription
- Basemap and historical imagery review
- Download of analysis-ready COGs via STAC
📚 Enrichment & validation sources
🔗 Pivot to
🧩 Analysis & hunting techniques
- Multi-temporal change detection
- NDVI/NDWI/NDBI spectral index computation
- SAR interferometry and coherence change
- Object detection and counting
- Pan-sharpening and enhancement
- Thermal/fire anomaly analysis
- Cloud masking and mosaicking
- Shadow-based height estimation
🔧 Tools
- QGIS
- SNAP (Sentinel Toolbox)
- GDAL
- Rasterio
- Google Earth Engine
- EO Browser
- Orfeo Toolbox
- STAC Browser
⚡ Workbench actions
- Query imagery by AOI/date
- Run change detection
- Compute spectral indices
- Detect and count objects
- Load SAR for cloud-free view
- Overlay FIRMS thermal hotspots
- Measure and estimate heights
- Export annotated scene
📊 Dashboard KPIs
Ground sample distance (m/px)Acquisition freshness (days)Cloud cover %Detected change magnitudeRevisit cadence
📂 Open
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports
🤖 AI Copilot
⚡ AI Skills
🔍 Lookup & Enrich
📚 Docs & Reports
💡 Recommendations
- Explore related tools below
- Automate recurring work via cron