I'm Dryver Finch, a geographer specializing in remote sensing, UAV-based imaging, and geospatial analysis for land and resource monitoring, conservation, and ecological restoration. My research integrates satellite and UAV-based multispectral/hyperspectral imaging with machine learning techniques to support sustainable management of natural resources and hydrological systems.
I'm currently pursuing an M.S. in Geography at The University of Tennessee, Knoxville, where I also work as a GIS Lab Assistant and Graduate Teaching Assistant. I have previous experience as a research intern at Oak Ridge National Laboratory and have worked on projects involving AI-driven object detection, UAV-based LiDAR/multispectral, and ML in remote sensing.
- Hydrological & Riparian Remote Sensing: UAV-based LiDAR and multispectral imaging for ecosystem monitoring.
- Geospatial AI & Machine Learning: Developing AI/ML algorithms for remote sensing applications.
- Critical Data Studies: Exploring accessibility, utility, and privacy in geospatial technologies.
- Spatial Epidemiology: Investigating the spatial dynamics of Bacillus anthracis in West Texas.
- LinkedIn: linkedin.com/in/dryverfinch
- Email: [email protected]
π Always open to collaborations on geospatial AI, remote sensing, and critical data studies!