Thomas Pingel

Specialities:

·     GIS

·     Lidar, Photogrammetry, and Unmanned Aerial Systems (UAS)

·     Geospatial programming

·     Geovisualization

Dr. Pingel holds a Bachelor of Science in Foreign Service from Georgetown University, received his Masters and Ph.D. in Geography from the University of California, Santa Barbara, and was an Intelligence Community Postdoctoral Research Fellow from 2010-12.   His research focuses on lidar and photogrammetric point cloud processing and visualization for applications in urban planning, navigation, and archaeology, with a secondary focus on the application of interactive web maps and augmented reality to geographic education.  His publications have appeared in CaGIS, Computers and Geosciences, Cartographica, Cartographic Perspectives, and the ISPRS Journal of Photogrammetry and Remote Sensing.  Dr. Pingel was chair of the Association of American Geographers Cartography Specialty Group from 2013-15, and has served as a Cartographic Editor for the Journal of Maps since 2014.  In addition to being a board member of the Cartographic and Geographic Information Society, Dr. Pingel is an active member of the AAG, the International Cartographic Association on Cognitive Visualization, the American Society for Photogrammetry and Remote Sensing, the National Council for Geographic Education.

Courses Recently Taught:

·     Spatial Analysis (GEOG 4314)

·     Geovisualization (GEOG 4984)

Recent Publications:

Pingel, T.J. and Bergman, D. (2017). Using Lidar to Measure the Urban Forest in DeKalb, Illinois. Illinois Geographer. 59(1), 1-36.

Pingel, T.J. (2017). Using Web Maps to Analyze the Construction of Global Scale Cognitive Maps. Journal of Geography.

Strader, S., Pingel, T.J., and Ashley, W. (2016). A Monte Carlo Model for Estimating Tornado Impacts. Meteorological Applications. 23(2), 269-281.

Pingel, T.J., Clarke, K.C., and Ford, A. (2015). Bonemapping: A LiDAR Processing and Visualization Technique in Support of Archaeology Under the Canopy. Cartography and Geographic Information Science. 42(S1), 18-26.

Pingel, T.J., Clarke K.C., & McBride, W.A. (2013). An Improved Simple Morphological Filter for the Terrain Classification of Airborne LIDAR Data. ISPRS Journal of Photogrammetry and Remote Sensing, 77(1), 21-30.

Recent Grants:

National Science Foundation
2017-18. Research Experience for Undergraduates: Water Quality in the Yucatan Peninsula.  Senior Personnel.

DigitalGlobe Foundation
2017-18. Characterizing Tornado Strength from UAV Sourced Aerial Imagery and Point Clouds. Principal Investigator.

Illinois Geographical Society
2016-17. Consumer Grade RTK GPS Correction for Mobile LiDAR Point Cloud Generation. Principal Investigator.