As a Graduate Research Assistant in Earth Lab, Victoria integrates diverse remote sensing data sets and creates open, reproducible code for environmental applications. Her most recent research involves studying how forest composition and health are changing over time in response to disturbances such as wildfire. She enjoys finding new ways to extract meaningful information from geospatial imagery, as well as leveraging cutting-edge computational methods and open source tools developed by the scientific community. 

Victoria is currently pursuing a PhD in Geography at the University of Colorado Boulder (CU Boulder). She is a Teaching Assistant for the Introductory and Advanced Remote Sensing courses at CU Boulder, and also serves as the Student Advisory Council Chair for the American Society for Photogrammetry and Remote Sensing.

When she is not coding, Victoria can be found hiking, rock climbing, or swing dancing somewhere near the foothills of the Rocky Mountains. 

 Twitter: scholl_victoria 

GitHub: vscholl

Earth Lab takes a collaborative, big-data approach to answering some of our most pressing questions related to fire. We seek to understand what controls fire in the landscape, how fire is changing, and what this means for society.
This project will advance fundamental understanding of how aboveground biomass recovery trajectories vary as a function of fire size and severity, drought, and conifer forest type (1984-present) across the western U.S.
In the face of increasing frequency and severity of disturbances to western U.S. forests, this effort integrates data from individual trees to entire ecoregions to advance understanding of western forest recovery.
Drones are revolutionizing the way natural scientists measure their study systems. We are researching how measurements from small remote sensing drones, aka uncrewed aerial systems (UAS), can complement existing data to answer environmental questions in new ways.
Scholl