New Machine-learning Computer Program to Identify Unmapped and Obscure Tropical Cave Entrances Using Python, GIS, and Lidar

Computer programs that can automatically identify landscape features are extremely useful for environmental study, conservation and resource management, and natural hazard identification. I am developing a machine-learning computer program to find unmapped cave entrances under forest canopy using Python, GIS, and LiDAR imagery. Such a method can be applied to any landscape feature with distinct morphologic characteristics, even features obscured by vegetation.