Climate & Environment (SDGs 13, 15)

Monitor deforestation in real-time with satellite imagery + computer vision

Deploy U-Net semantic segmentation models trained on Sentinel-2/Landsat imagery to detect illegal logging within 24 hours using change detection algorithms—covering millions of hectares with automated alerts when forest loss exceeds thresholds, enabling rapid field team response before damage becomes irreversible.

5 computer vision capabilities that enable real-time forest monitoring

Get environmental monitoring guide
Climate & Environment (SDGs 13, 15)

Monitor deforestation in real-time with satellite imagery + computer vision

Use this template to drive stakeholder alignment instead of starting from scratch.

Download satellite monitoring roadmap

Your technical implementation roadmap: 6-week deployment

Download the 35-page technical blueprint including U-Net semantic segmentation architectures, Siamese network change detection models, Google Earth Engine processing pipelines, PostGIS spatial database schemas, mobile alert system specifications, and cloud infrastructure requirements (AWS/GCP deployment patterns).

The full roadmap includes: PyTorch model training code, satellite imagery preprocessing pipelines (Sen2Cor atmospheric correction, Fmask cloud masking), GeoTIFF processing workflows with GDAL/Rasterio, OneSignal/Twilio alert integration code, field validation protocols, accuracy benchmarking methodology, and cost analysis comparing free (Sentinel-2/Landsat) vs. commercial imagery (Planet Labs/Maxar). Available after form completion.

How satellite computer vision delivers measurable conservation outcomes

Respond 50x faster to deforestation threats with 24-hour detection

Real-time monitoring enables intervention within 24-48 hours vs. discovering damage weeks or months later during ground patrols. Traditional approach: quarterly ground surveys covering <10% of protected area, deforestation discovered average 45 days after occurrence (too late to prevent damage, difficult to prosecute perpetrators). AI approach: daily satellite imagery analysis covering 100% of area, alerts within 24 hours of cloud-free imagery acquisition, field teams dispatched same day. Example impact: National Park reduced illegal logging by 67% in first year through rapid response—perpetrators caught in action vs. discovering abandoned sites months later. Prosecution success rate increased from 12% to 58% due to timely evidence collection.

Monitor 100x more territory than possible with traditional ground patrols

Satellite AI analyzes millions of hectares daily—coverage impossible with limited ranger budgets. Example: Park with 500,000 hectares and 20 rangers. Ground patrols cover ~200 km² per month (0.4% of park area). Satellite monitoring covers 100% of park every 5-10 days (Sentinel-2 revisit frequency), analyzing 6,000+ km² per overpass. Cost per hectare monitored: ground patrols $50-80/ha/year (fuel, ranger time, equipment), satellite AI $0.08-0.15/ha/year (imagery + compute + analysis). Organizations report monitoring 50-100x more territory with satellite approach while redirecting ranger time from routine patrols to high-priority response and community engagement.

Increase enforcement success by 60% through timely evidence and predictive patterns

Rapid detection + historical pattern analysis improves enforcement outcomes dramatically. AI identifies: (1) Hotspots—areas with repeated deforestation attempts, enabling pre-positioned patrols during high-risk periods (dry season, before major holidays), (2) Access routes—clearing patterns reveal illegal logging roads, allowing road blocking strategies, (3) Temporal patterns—activity concentrated in specific months, enabling seasonal enforcement surge. Geo-referenced evidence (satellite images, timestamps, GPS coordinates) admissible in court, increasing prosecution success rates. Example: Indigenous Territory reduced illegal incursions by 63% after 18 months by combining satellite alerts with predictive patrol deployment, allocating ranger resources to predicted high-risk zones rather than random patrols.

Frequently asked questions

Climate & Environment (SDGs 13, 15)

Monitor deforestation in real-time with satellite imagery + computer vision

Use this template to drive stakeholder alignment instead of starting from scratch.

Download satellite monitoring roadmap

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