Samantha T Arundel, Ph.D.
Biography
Sam is a Research Geographer with the Center of Excellence for Geospatial Information Science. She received PhD and MA degrees in Geography from Arizona State University and a BS in Geography from Northern Arizona University in Flagstaff, where she became an assistant professor in 2000 and then associate professor in 2004. Since joining the USGS in 2009, Sam has devoted her career to automating terrain mapping and analysis. Presently, her research focuses on AI methods to map natural features for the nation.
Education
BS Geography, Northern Arizona University, 1990
MA Geography, Arizona State University, 1994
PhD Geography, Arizona State University, 2000
Professional Experience
Assistant Professor of Geography, Northern Arizona University, 2000 - 2004
Associate Professor of Geography, Northern Arizona University, 2004 - 2009
Geographer, Applied Research, U.S. Geological Survey, 2009 – 2015
Research Geographer, Center of Excellence for Geographic Information Science, 2015 - present
Affiliations
American Society for Photogrammetrical Engineering and Remote Sensing - Member
Cartography and Geographic Information Society - Board Member
Association of American Geographers - Member
Non-USGS Partners
Wenwen Li, Arizona State University
Jarlath O'Neil-Dunne, University of Vermont
Gaurav Sinha, Ohio University
Other USGS Publications
Sinha G., Arundel, S.T., Stewart, K., Mark, D., Hahmann, T., Romero, B., Sorokine, A., Usery, E. L., and McKenzie, G. 2018. A Reference Landform Ontology for Automated Delineation of Depression Landforms from DEMs. In: Fogliaroni P., Ballatore A., Clementini E. (eds) Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017). COSIT 2017 2017. Lecture Notes in Geoinformation and Cartography. Springer, Champagne.
Arundel, S.T. and Sinha, G. 2018. Validating GEOBIA based terrain segmentation and classification for automated delineation of cognitively salient landforms. In: Fogliaroni P., Ballatore A., Clementini E. (eds) Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017). COSIT 2017 2017. Lecture Notes in Geoinformation and Cartography. Springer, Champagne.
Arundel, S. T., Bulen, A. N., Adkins, K. F., Brown, R. E., Lowe, A. J., Mantey, K. S., and Phillips, L. A. 2017. Assimilation of the National Elevation Dataset and Launch of the 3D Elevation Program through the USGS Spatial Data Infrastructure. International Journal of Cartography, 1-22. ttp://dx.doi.org/10.1080/23729333.2017.1288533
Arundel, S.T., Thiem, P.T. and Constance, E.W. 2017. Automated Extraction of Hydrographically-Corrected Contours for the Conterminous United States: The U.S. Geological Survey US Topo Product. Cartography and Geographic Information Science, 1-25. http://dx.doi.org/10.1080/15230406.2016.1230027
Arundel, S.T. 2016. Pairing semantics and object-based image analysis for national terrain mapping - a first-case scenario of cirques. In: GEOBIA 2016 : Solutions and Synergies., 14 September 2016 - 16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC). https://doi.org/10.3990/2.431
Gesch, D.B., Evans, G.A., Oimoen, M.J. and Arundel, S.T. In Press. “The National Elevation Dataset.” DEM Users Manual, 3rd Edition (D.F. Maune, editor), American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland.
S.T. Arundel, Phillips, L.A., Lowe, A.J., Bobinmyer, J., Mantey, K.S., Dunn, C.A., Constance, E.W. and Usery, E.L. 2015. Preparing The National Map for the 3D Elevation Program – products, process and research, Cartography and Geographic Information Science, 42:sup1, 40-53.
Arundel, S.T., Phillips, L.A., Lowe, A. J., Bobinmyer, J., Mantey, K.S., Dunn, C. A., Constance, E. W. and Usery, E. L. 2016. Research and Development for The National Map – Preparing for the 3D Elevation Program. Cartography and Geographic Information Science.
Stanislawski, L.V., Doumbouya, A.T., Miller-Corbett, C.D., Buttenfield, B.P. and Arundel, S.T. 2012. Scaling stream densities for hydrologic generalizations. Proceedings of the Seventh International Conference on Geographic Information Science, Columbus, OH, http://www.giscience.org/past/2012/proceedings/abstracts/giscience2012_p....