Pete Doucette


Pete is the deputy program coordinator for the National Land Imaging Program (NLIP) at the USGS National Center in Reston, Virginia. A significant portion of NLIP resources are dedicated to supporting the ground segment of the Landsat Program via the Earth Resources and Observation Science Center (EROS) in Sioux Falls, South Dakota. Pete's current interests include advancing Sustainable Land Imaging, and integrating government and commercial space system data (large and small sat), and UAS data, into an operational data science strategy. His vision is to advance our understanding of interconnected Earth processes via the implementation of big data science constructs that can assimulate heterogeneous observables captured by in-situ and remote sensors. The ultimate goal is to better explain, model and predict change over time to support timely decision making.

Pete started down the path of geoinformatics in 1990, which has included positions with federal government, the private sector, and academia. His past projects included applied work in machine learning, computer vision, geopositioning, and analysis of uncertainty, using a variety of geospatial data types across topographic and hydrographic domains.  Pete has taught university coursework in remote sensing, image processing, photogrammetry, and GIS. He's chaired conference committeees sponsored by IEEE, SPIE, and ASPRS.

Education: PhD spatial information engineering, UMaine; MS geomatics engineering, Purdue; BS engineering physics, UMaine

Selected publications

Doucette, P., Kline, K., Newman, T. "An outlook on Landsat data management strategy." Proc69th International Astronautical Congress, 2018.

Doucette, P., and Dolloff, J. "Geostatistical modeling of uncertainty, simulation, and proposed applications in GIScience." Proc. SPIE, v9473, 2015.

Doucette, P., Dolloff, J., Braun, A., et al. "Error estimation in gridded bathymetry." Proc. IEEE Applied Imagery Pattern Recognition Workshop, IEEE Computer Soc., 2015.

Dolloff, J., and Doucette, P. "The sequential generation of Gaussian random fields for applications in the geospatial sciences." ISPRS Int. Journal of Geo-Information, 3:817-852, 2014.

Doucette, P., Dolloff, J., et al. "Experiments with fast sequential simulation for assessment of geospatial algorithms." Proc. 11th Int. Symp on Spatial Accuracy in Natural Resources & Env. Sciences, 2014.

Dolloff, J., Hottel, B., Doucette, P., Theiss, H., Jocher, G. "Optimal full motion video registration with rigorous error propagation." Proc. SPIE, v9089a, 2014.

Doucette, P., Theiss, H., Dolloff, J., Mikhail, E., et al. "Measurement and automation practices in photogrammetry." In: Manual of Photogrammetry (6th Edition), McGlone, J.C., (ed.), ASPRS, 957-1008, 2013.

Doucette, P., Dolloff, J., et al. "Evaluating conflation methods using uncertainty modeling." Proc. SPIE, v8747, 2013.

Doucette, P., Antonisse, J., et al. "Image georegistration methods: A framework for application guidelines." IEEE Applied Imagery Pattern Recognition Workshop, IEEE Computer Soc., 2013.

Doucette, P., Theiss, H., Mikhail, E., et al. "Spatial analysis of image registration methods for fusion applications." Proc. SPIE, v8053, 2011.

Kovalerchuk, B., Doucette, P., et al. "MapSnap system to perform vector-to-raster fusion." Proc. SPIE, v8053, 2011.

Brown, R., Duguay, C., Mueller, R., Moulton, L., Doucette, P., Tagestad, J. "Use of synthetic aperture radar to identify and characterize overwintering areas of fish in ice-covered Arctic rivers: A demonstration with broad whitefish and their habitats in the Sagavanirktok River, Alaska." Trans of the American Fisheries Society, 139:1711-1722, 2010.

Doucette, P., Grodecki, J., Clelland, R., et al. "Evaluating automated road extraction in different operational modes." Proc. SPIE, v7334, 2009.