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 spatial data science to better explain, model and estimate changes to the Earth's land surface and climate through time in support of decision making for societal benefit. His interests include the NASA-USGS Sustainable Land Imaging Program, the 30x30 initiative, 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 spatial data science 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, and spatial analysis. He's published and chaired conference committees on a variety of spatial data science topics. His recent interests included investigating Monte Carlo simulation methods to quantify and visualize uncertainty propagation in spatial processes, and understanding the significance of spatial autocorrelation. As past adjunct faculty he taught coursework in remote sensing, geographic information systems (GIS), and photogrammetry.
Education and Certifications
Ph.D. spatial information science & engineering, U. Maine | M.S. geomatics, Purdue | B.S. physics, U. Maine