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....