Pete Doucette


Pete is the Acting Director for the USGS Earth Resources and Observation Science Center (EROS), which is part of the Core Science Systems Mission Area. Prior to that he was the lead for Integrated Science and Applications at USGS EROS, and the associate program coordinator for the USGS National Land Imaging Program.

His aspiration is to advance the utility of data science to better explain, model and estimate changes to the Earth's land surface through time in support of decision making for societal benefit. His interests include the NASA-USGS Sustainable Land Imaging Program, and strategy development for the application of— high performance and cloud computing environments; machine and deep learning methods; and integrated Earth observation data for advancing time-series analysis. He's co-lead for the AI/ML collaboration area for the USGS Community for Data Integration (CDI).

Pete began his career in geoinformatics in 1990, which has included positions with the federal government, a national lab, and the private sector. His past activities include R&D in remote sensing, machine learning/computer vision, spatial analysis, and photogrammetry. Recent interests included investigating Monte Carlo simulation methods to quantify and visualize uncertainty propagation in spatial processes, and understand the significance of spatial autocorrelation. He's chaired conference committees sponsored by IEEE, SPIE, and ASPRS on various geospatial science topics. As past adjunct faculty he taught coursework in remote sensing, and geographic information systems (GIS).

Education: Ph.D. spatial information science & engineering, UMaine  |  M.S. geomatics, Purdue  |  B.S. physics, UMaine