Environmental Data Science
USRA’s Environmental Data Science group is part of the USRA Research Institute for Advanced Computer Science (RIACS). We conduct a portfolio of research projects applying advanced machine learning, AI, and other data data science approaches to environmental, geological, and biological applications including research on natural disasters, atmospheric and aerosol sciences, astrobiology, space biology, air quality and human health on Earth and in Space. Our researchers are developing innovative approaches to model and predict natural hazards focusing on rapid flood mapping, earthquake early warning, landslide risk monitoring, and wildfire preparedness, response and recovery. We support USGS, NASA, and other academic and governmental sponsors through cooperative agreements and PI awards.