David Saavedra is a member of the geospatial team whose work focuses on high-resolution stream mapping and terrain analysis. Prior to joining the Chesapeake Conservancy, Saavedra worked for the United States Geological Survey Eastern Geographic Science Center mapping headwater streams using LiDAR and modeling sediment fluxes throughout the Bay watershed.

‍

Recently, Saavedra coauthored the paper, “Convolutional neural network for high-resolution wetland mapping with open data: Variable selection and the challenges of a generalizable model."

‍

Saavedra holds a bachelor’s degree in environmental science from the University of Maryland, Baltimore County and has a background in hydrology and geospatial analysis. A native of Southern Maryland, Saavedra enjoys fishing, brewing beer and spending time outdoors.