Research Topic
Unmanned Aerial System (UAS, or drone) Spatial Analysis for Natural Resources
Ben evaluates the application effectiveness and certainty (accuracy) of Unmanned Aerial Systems (UAS, UAV, or drone) for ecological monitoring. He uses novel techniques in Geographic Information Systems and Science (GISS), and Remote Sensing, for forest health monitoring and the collection of environmental modelling reference data. UAS data products such as Structure-from-Motion (SfM) 3D models and orthomosaics are integrated in both visual interpretation and increasingly automated classification workflows.
Previous Awards and Activities
- 2018 Granite State, Society of American Foresters, Graduate Student of the Year
- 2017 University of New Hampshire Farrington Fund Travel Grant
- 2017 University of New Hampshire Graduate School Travel Scholarship
Selected Presentations and Publication
Publication
Fraser, B.T.; Congalton, R.G. Issues in Unmanned Aerial Systems (UAS) Data Collection of Complex Forest Environments. Remote Sens. 2018, 10, 908.
Presentations
- 2017 University of New Hampshire, GIS Day, Durham, NH – Oral
- 2017 American Society of Photogrammetry and Remote Sensing, Baltimore, MD - Oral
- 2017 University of New Hampshire Graduate Research Conference, Durham, NH - Poster
- 2016 University of New Hampshire, GIS Day, Durham, NH – Oral
Education
M.S. Natural Resources, University of New Hampshire, 2017
B.S. Wildlife Conservation and Biology, University of New Hampshire, 2015
Professional Positions/Organizations
- American Society of Photogrammetry and Remote Sensing
- Society of American Foresters
- Alpha Gamma Rho, Omega Chapter Alumni Corporation – Director
- Xi Sigma Pi, National Forestry Honor Society
- Alpha Phi Omega
