Disciplines

🌿 Environmental Intelligence (ENVINT)

🔍 Lookup

📊 Pre-built Queries · Environmental Intelligence

📜 Playbook — Environmental Intelligence collection

1. Direction — frame the requirement for Environmental Intelligence: what decision does this support, by when?
2. Collection — collect from the 0 mapped sources (0 free) — filter the catalog by ENVINT; 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

Environmental Intelligence monitors ecological change, pollution, deforestation, and environmental hazards using remote sensing and open geospatial data. It answers where and how fast the environment is changing, who is responsible, and which populations and assets are at risk.

📡 Collection methods

• Multispectral satellite analysis using NDVI, NBR burn-scar, and NDWI water indices
• Active-fire and thermal-anomaly detection from FIRMS
• Deforestation change detection via GLAD alerts and tree-cover-loss time series
• Air-quality and pollution-plume monitoring from ground sensors and atmospheric models
• Water-quality and hydrology monitoring from optical and reanalysis data
• Land-use/land-cover classification and supervised change detection
• Illegal mining, dumping, and encroachment detection via imagery time series

📚 Key sources & datasets

🎫 Data points produced

🔧 Tools & frameworks

• QGIS
• Google Earth Engine
• SNAP (Sentinel)
• EO Browser
• GDAL
• Rasterio

📜 Environmental Intelligence Tradecraft

1. Collect: task and pull Sentinel-2/Landsat scenes plus FIRMS and GLAD alerts over the AOI and time window
2. Process: atmospherically correct and composite imagery, mask clouds, and compute NDVI/NBR/NDWI indices
3. Analyze: run change detection across the time series to quantify forest loss, burn extent, or plume spread
4. Attribute: overlay cadastral, concession, and OSM/facility layers to link damage to an operator or site
5. Disseminate: publish geospatial alerts and before/after maps to stakeholders and responders
6. Act: refer violations to regulators and set continued monitoring on the offending coordinates

📊 Dashboard KPIs

🔍 Pre-built queries

🔗 Cross-discipline pivots

🗃 Data Management

🧩 Advanced Capabilities