Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events.

Precise locations of commercial poultry operations are important to planning and response for animal health outbreaks and events. These data are not available nationally or uniformly in the United States. This project uses machine learning capabilities to identify and map commercial poultry operations from aerial imagery in seven south-eastern states in the United States.