Wildland Urban Interface - Mapping Wildfire Loss

This is a proof-of-concept study to investigate the use of machine learning (deep learning / convolutional neural networks) and object-based image classification techniques to identify buildings, building loss, and defensible space around buildings before and after a wildfire event in wildland-urban interface settings.