Machine Learning Approach to Space Data Exploitation for Wildfire Detection and Air Force Energy Infrastructure Protection

Enview's 3D Geospatial Analytics Engine's new Wildfire Risk module encapsulates core capabilities of exploiting Air Force space data to identify Wildfire threats, predict their spread, and enable first-responders and civilians to respond to fires. The capability will fuse space-based infrared, electro-optical (RGB) and multi-spectral imagery and weather sensing data, with ground and aerial collected LiDAR to build a wide-area 3D model of wildfire risk. Enview's 3D Computer Vision algorithms will detect vegetation density and health, electric powerlines & powerpoles, commercial and residential structures, and other infrastructure. It will use deep learning algorithms to predict the spread of wildfire, optimize plans to respond to current and future wildfires.