Forests are increasingly threatened by climate change and human activity. To understand these threats, we must know when, where, and how forests have been affected by wildfires, drought, and other disturbances. In this stream, you will contribute to the machine learning and satellite remote sensing workflow to detect forest disturbance from space. Specifically, we will use GIS and computer programming to develop reference data and machine learning algorithms that will be applied to space-based satellite imagery. We will ultimately produce better maps of forest disturbance that can be used to protect these important ecosystems.