CaveScout AI

Detect previously unmapped cave entrances from satellite and aerial remote sensing data

Search & ResearchFreemium

CaveScout AI applies convolutional neural networks to multispectral satellite imagery, DEM differencing, and LIDAR void detection to identify probable cave entrance locations in karst terrain at 2-meter resolution. The system ranks candidate sites by estimated passage volume and accessibility difficulty to prioritize ground-truthing field visits. Discoveries are auto-formatted for submission to national cave and karst databases including the NSS Cave Registry.

Key Features

• ✓Multispectral satellite imagery cave entrance detection
• ✓DEM differencing and LiDAR void analysis
• ✓Karst terrain candidate site ranking by passage volume
• ✓Accessibility difficulty scoring for field visit prioritization
• ✓NSS Cave Registry auto-formatted submission package