Michael E. Hodgson
College of Arts and Sciences
|Office:||Callcott, Room 327-A|
Curriculum Vitae [pdf]
Department of Geography
My research interests are broadly in geographical information science with particular interest in the use of remote sensing approaches (e.g. LiDAR) for environmental problems. My funded research has focused on the development of innovative approaches and techniques for rapidly or more accurately extracting information from imagery and geospatial data. Recent research has utilized survey methods, cognitive studies, and GIS-based modeling for probing theoretical questions and pragmatic solutions to geographic problems. For instance, how do the state and counties emergency operations centers utilize geospatial approaches in disaster response and recovery (survey methods)? How does a trained image interpretation expert recognize objects and patterns on aerial imagery (cognitive studies)? And how can we model this cognitive image interpretation process and implement in an automated solution? What is the appropriate design and implementation for a 4-dimensional (space and time) satellite-sensor image collection model (GISci-modeling)? How can we reliably and rapidly, with estimates of confidence and uncertainty, map information from airborne LiDAR data sources?
My current funded research supported by the Department of Homeland Security (DHS)
for emergency response/recovery efforts is focused on the development of mobile-GISci
applications incorporating geospatial data/imagery and the development of an online
and collaborative satellite/aircraft image collection modeling solution.
- GEOG 363: Introduction to Geographic Information Systems
- GEOG 552: LiDARgrammetric And Photogrammetric Digital Surface Mapping
- GEOG 564: GIS Based Modeling
- GEOG 565: GIS Databases and Their Use
- GEOG 763: Seminar in GIS
- GEOG 863: Advanced Seminar in GIS
Xu, H., M.E. Hodgson, S. Piovan, D. Tufford, 2018. The Potential of Using LiDAR and CIR Aerial Imagery for Palustrine Wetland Typology and Change, GIScience and Remote Sensing, 55: 477-501, https://dx.doi.org/10.1080/15481603.2017.1412145.
Contreras, D., T. Blaschke, M.E. Hodgson, 2017. Lack of Spatial Resilience in a Recovery Process: The Case of L’Aquila, Italy, Technological Forecasting & Social Change, 121:76-128, https://doi.org/10.1016/j.techfore.2016.12.010.
Li, Z., M.E. Hodgson, W. Li., 2017. A General-purpose Framework for Parallel Processing of Large-scale LiDAR Data, International Journal of Digital Earth, http://dx.doi.org/10.1080/17538947.2016.1269842, 10: 1-22.
Liu, S. and M.E. Hodgson, 2016. Satellite Image Acquisition Planning for Large Area Disaster Emergency Response", ISPRS Journal of Photogrammetry and Remote Sensing, http://dx.doi.org/10.1016/j.isprsjprs.2016.04.007, 118: 13-21.
Shook, E., M.E. Hodgson, S. Wang, B. Behzad, K. Soltani, A.L. Hiscox, and J. Ajayakumar, 2016. Parallel Cartographic Modeling: A Methodology for Parallelizing Spatial Data Processing, International Journal of Geographical Information Science, http://dx.doi.org/10.1080/13658816.2016.1172714.
Piovan, S. and M.E. Hodgson, 2016. How many Carolina bays? An analysis of Carolina bays from USGS topographic maps at different scales, Cartography and Geographic Information Science, http://dx.doi.org/10.1080/15230406.2016.1162670.
Hodgson, M.E., B. A. Davis, D. Accardo, H. Xu, K. Beidel, S.E. Piovan, 2015. Application of Mobile Data Capture with Imagery Support, Time Sensitive Remote Sensing; Chris Lippitt and Doug Stow, editors (Springer-Verlag).
Im, J., Z. Lu, J. Rhee, and M.E. Hodgson, 2014. Building Type Classification Using Spatial and Landscape Attributes Derived from LiDAR Remote Sensing Data, Landscape and Urban Planning, 130:134-148.
Liu, S., and M.E. Hodgson, 2013. Optimizing Large Area Coverage From Multiple Satellite-Sensors, GIScience & Remote Sensing.50(6): 652-666.
Battersby, S.E., M.E. Hodgson, and J. Wang, 2012. Spatial Resolution Imagery Requirements for Identifying Structure Damage in a Hurricane Disaster: A Cognitive Approach, Photogrammetric Engineering and Remote Sensing 78(6): 625-635.
Kar, B., and M.E. Hodgson, 2012. A Process Oriented Areal Interpolation Technique: A Coastal County Example, Cartography and Geographical Information Science. 39(1): 3-16.
James, L. A., M.E. Hodgson, S. Ghoshal, M.M. Latiolais, 2012. Geomorphic Change Detection Using Historic Maps and DEM Differencing: The Temporal Dimension of Geospatial Analysis, Geomorphology, 137(1): 181-198.
Hodgson, M.E., B.A. Davis, Y. Cheng, and J. Miller, 2010. Modeling Remote Sensing Satellite Collection Opportunity Likelihood for Hurricane Disaster Response, Cartography and Geographical Information Science. 37(1): 7-15.
Chow, T.E., and M.E. Hodgson, 2009. Effects of Lidar Post-Spacing and DEM Resolution to Mean Slope Estimation, International Journal of Geographical Information Science. 23(10): 1277-1295.
Jensen, J.R., and M.E. Hodgson, M. G-Q Quijano, J. Im, and J. Tullis, 2009. A Remote Sensing and GIS-assisted Spatial Decision Support System for Hazardous Waste Site Monitoring, Photogrammetric Engineering and Remote Sensing. 75(2): 169-177.
Im, J., and M.E. Hodgson, 2009. Characteristics of Search Spaces for Identifying Optimum Thresholds in Change Detection Studies, GIScience and Remote Sensing. 46(3): 249-272.