Mentors: Frank Magilligan, Geography; Brian Dade, Earth Sciences
James is a geographer pioneering the use of high-resolution 3D mapping techniques in order to better examine how landscapes change over time. His primary interests are in using 3D data to analyze rivers and riverscape change, specifically, the evolution of rivers after stream restoration and dam removal projects. James uses a variety of remote sensing (satellite, aerial, and ground-based photography) and computer-based mapping (Geographic Information Science) tools to do a majority of his research. He also enjoys developing and constructing innovative, open-source instruments for data collection, and developing new methods for data analysis. As a Neukom Fellow, James has been continuing to improve the integration of 3D data collection into large-scale river restoration monitoring programs, developing tools to create time-lapse 3D surface models of moving objects such as water and lava flows, and is using his 3D techniques for projects in archeology and digital humanities.
You can follow James' research on his blog.
- Carbonneau PE, Dietrich JT. 2016. Cost-Effective Non-Metric Photogrammetry from Consumer-Grade sUAS: Implications for Direct Georeferencing of Structure from Motion Photogrammetry. Earth Surface Processes and Landforms : DOI: 10.1002/esp.4012
- Dietrich JT. In Press (2016). Bathymetric Structure from Motion: Extracting shallow stream bathymetry from multi-view stereo photogrammetry. Earth Surface Processes and Landforms.
- Dietrich J.T. 2015. Riverscape Mapping with Helicopter-Based Structure-From-Motion
- Photogrammetry. Geomorphology. DOI: 10.1016/j.geomorph.2015.05.008
- Riverscape mapping with helicopter-based Structure-from-Motion photogrammetry
- Winter 2015: Environmental Applications of GIS (GEOG59 / EARS77)
- Winter 2016(tentative): GEO.coding, an introduction to scientific computing for geography and earth science