This deep learning model is designed to detect trees in high-resolution drone and aerial imagery. It supports applications such as vegetation management, forestry, and urban planning, leveraging the broad spatial and temporal coverage of aerial and drone data.

Built on the DeepForest framework, the model has been trained using data from the National Ecological Observatory Network (NEON).