GIS/MEA 584:
Mapping and Analysis Using UAS


Proposal, presentation and paper requirements


  • Define research question, select location, list available data, methods (theory), software tools, describe expected results.


  • Length: DE students 10 minutes, on-campus students 15 min + 5 min discussion
  • Introduction/background: problem, motivation for the research, research question / objective
  • Study site: where, why this site, geographic characteristics
  • Data acquisition: platform and sensor, flight plan (if applicable), flight conditions
  • Data properties and processing: resolution, spatial extent, accuracy
  • Analysis and/or modeling methods: describe methodology and workflows
  • Results: present and explain the results using qualitative and quantitative description, tables, graphs, maps/images,
  • Discussion: discuss impact of flight conditions, data and methods on the results, uncertainty issues, compare with results from other studies, which questions remain unresolved, what still needs to be done
  • Conclusion: summary of the most important findings including advances in methodology, future work
  • Structure and formatting should follow scientific journal standards.
  • Same sections as the presentation
  • Text and Figures: min. 4 pages, single spaced including tables and references images, maps, graphs, presented in readable size with scale and legends where needed
  • References: at least 5 papers from scientific journals, rest can be reports, web documents
  • Appendix (optional): workflows, scripts, metadata. Software commands, issues go here

Projects 2021

  • Bartenfelder, Amy: Areal Changes at LAke Wheeler Field After the 2017 Hurricane Season
  • Webb, Andrew: Cabon Mapping of Agricultural Fields
  • Williams, Chantel: Northern Umstead State Park - Vegetation
  • Goodnight, Dallas: Can NC One Map Orthoimagery be used to accurately measure Cape Lookout Park shoreline elevation changes over time?
  • Wingler, Dylan: Using LiDAR to Compare Impact between Hurricane Matthew and Sandy on Cape Hatteras, NC
  • Pelfrey, Hank: Estimating Individual Tree Location and Height with UAS Photogrammetry
  • Dorner, Judy: Object detection in UAS Imagery Using Machine Learning Applications
  • Moy, Matthew: Creating and Interpolated DSM of Downtown Cary, NC
  • Perry, Marcus: Mars Science Helicopter: Exploring Photogrammetry with Ingenuity's NavCam Data
  • Sawtelle, Macy: Testing the Capability of Unmanned Aircraft vehicles to Monitor Forest Regeneration Activities
  • Williams, Patrick: Using Unmanned Aerial System Imagery to Perform Solar Potential Analysis
  • Erlenbach, Peter: Image Classification Using Drone Data
  • Johnson, Randy: Urban Landcover Classification Utilizing UAS
  • Hill, Russell: Canyonlands National Park - 3D mash and a Scene Layer Package
  • Farrell, Sean: Multiple Return Lidar Analysis of Hydrologic Changes Due to Highway Flooding from Hurricane Florence
  • Tan, Samantha: The Impact fo hurricane Events on Coastlines: Measuring Coastline Loss with Pre and Post Michael Orthophotogrammetry
  • Herzig, Bill: Drone vs Satellite - Multispectral NDVI Image Pixel Analysis

Projects 2020

  • Adams, Eric: Environmental Study Using UAS Data in the Edenton Bay, NC Region
  • Bert, Steve: Optimizing Parking Management for the City of Raleigh. An Unmanned Aircraft Systems Inventory Approach
  • Davis, Britt: Structure from Motion as a Participatory Design Tool: The Landscape Architect’s Guide to Better Models and Deeper Community Engagement
  • Franklin, Samuel: A Comparative Analysis of UAS in Archeology
  • McDonald, Christopher: UAS Technology for Mapping Urban Development – SouthEnd District of Charlotte, NC
  • Parish, William : UAS Implementation for Civil Engineering Design and Construction: NC 12 Bridge near Rodanthe Study
  • Phillips, Ryan: Evaluating the Effect of Image Resolution on Digital Surface Model Construction and Usefulness
  • Pierson, Gardner: The Use of High Resolution UAS Data vs Traditional Ariel Imaging to Predict Inundation and Potential Urban Impact on the Southern Slope of Mt. Etna, Italy, Using a Lava Flow Emplacement Model.
  • Signor, Kari: Exploring Lidar Classification Methods: Archaeological Applications in the Maya Lowlands
  • Spear, Michael: Using UAS Umagery for Land Cover Classification
  • Watts, Matthew: Exploring LiDAR in Area of Wildfire and Assessing the Benefits of Adding UAS Data

Projects 2019

  • Baker, Kurt: Effective ground classification of non-uniform laser data
  • Brown, Tamika: The Implications of Using Unmanned Aerial Systems to Monitor Hazardous Waste Facility Sites and Better Understand Community Endangerment within the City of Chicago
  • Charping, Charlie: UAS Technology for Open Pit Mining
  • Conrad, Matt: 3D Modelling from Video: Technology Application
  • Cummings, John: Automated Detection of Roadway Features Via UAS
  • Davis, Jeremy: Creating a Basis for the Influence of Elevation on Wheat Varieties in North Carolina
  • Groh, Erica: Proposed UAS Survey of Alluvial Fans in California
  • Hoffman, Dallas: Analysis of Multiple Return Lidar in ArcGIS
  • Jones, Alli: LIDAR and UAV to Monitor Beach Nourishment - Emerald Isle, NC
  • Ma, Xingli: Use of UAS to Detect Disease in Soybeans
  • Nicholas, D. Chase: Tracking Crop Development with UAVs: Using SfM to Estimate Plant Height and Volume
  • Oberrender, Daniel: Cave Detection using Local Relief Model derived from UAS SfM
  • Potter, Andrew: Coastal Change Analysis of the Cape Lookout National Seashore
  • Ruiz, Rachel: Implementation of Unmanned Aerial System to Conduct Bridge Inspection
  • Scheip, Corey: UAS Imagery to Supplement Lidar-Based Landslide Programs
  • Wheaton, James: Utilizing UAS to Generate Land Cover Data
  • Williams, Caleb: Unmanned Aerial Systems for Waterfowl Population Studies at the Tom Yawkey Wildlife Center

Projects 2018

  • Albert, James: A New Approach to Landfill Management in the Solid Waste Industry
  • Anderson, Alexander: Using UAS Structure from Motion and and LiDAR DSMs to Identify, Monitor and Mitigate Coastal Erosion In Okaloosa County
  • Bastias, Sabina and Montgomery, Kellyn: Combining Nadir and Oblique Imagery to Address Distortion in UAS Data
  • Catlow, Maureen, Hahn, Becca, and Voigt Erin: "RescUAV data after Hurricane Irma: Natural Disaster Analysis"
  • Dawson, Victor: ???
  • Edenhart-Pepe, Skyler and Pierce, Austin: Evaluating the use of time series UAS and Lidar data to monitor rate of change of hydrologic flow patterns on land development projects.
  • Felipe, Lauren: ???
  • Forte, Michael: Object Detection Using Structure From Motion Techniques
  • Howell, Andrew: Estimating Area and Standing Biomass of Zizania latifolia Using sUAS
  • Kesselring, Todd: Using LiDAR and NDVI for Vegetation Management in Utility Right of Ways
  • Lamb, Kelsey: Mapping surface water and impervious surface
  • Liesch, Mandy: Changes in Water Balance Associated with Farm Development
  • Meyers, William: Measuring and Modeling Biomass of Pines at Tatum Farm
  • Schrum, Paul: 3D UAV track in Blender: A Blender Addon to import, edit, then export UAV trajectories
  • Suffern, Carrie: Monitoring Drainage Issues at a Small Farm: Use of UAS DSMs and LiDAR DEMs to Forecast Storm Runoff and Monitor Sinkhole Formation
  • Vincent, Sarah: UAV versus Statewide Contours, is it worth it to move dirt?

Projects 2016

  • Travis Howell: Mapping volume of wood chip pile
  • Corbin Kling: Jockey's Ridge State Park: a potential Mars dune analog
  • Nicholas Kruskamp: Forest structure
  • William Ross: Water Surface Elevation Generation & Storm Debris Volume Estimation using UAS
  • Joshua Rudd: Crop growth monitoring using sUAS

Projects 2015

  • Dyer Tristan: Barrier island monitoring of volume change
  • Foley Molly: Mapping forest fragmentation in urbanizing landscape using sUAS
  • Reckling William: Utilities
  • Bayasgalan Gantulga: Beaver dam impact assessment
  • Belica Laura: Monitoring grass conditions under different levels of management (change to solar irradiation from UAS DSM?)
  • Harmon Brendan: Gully monitoring and volume change assesment
  • Petras Vaclav: Optimizing point cloud density for modeling microtopography controls over surface flow.
  • Petrasova Anna: Extracting bare earth from sUAS using lower resolution bare earth lidar
  • Smart Lindsey Suzanne: Mapping coastal plain microtopography and its impact on surface water distribution
  • Velasquez Montoya Liliana: Mapping soil erosion using sUAS DEMs