Bruce K Wylie, PhD, MS

Bruce’s focuses on remote sensing, GIS, and machine learning to produce useful spatiotemporal products to aid natural resource management. This includes invasive species, permafrost and forage change relate to droughts. Recent applications of Landsat/Sentinel harmonized data and high-performance computing are facilitating the transition of several 250m MODIS products to 30m.  


Dr. Bruce Wylie has been involved in remote sensing applications to support natural resource management for since 1985, both internationally (Niger, Kazakhstan, and China) and domestically (Alaska and the western U.S.).  Dr. Wylie has applied data mining approaches to map rangeland and crop carbon fluxes, surface water, depth to the top of the permafrost, probability of land cover change in Alaska, soil organic layer thickness, invasive cheatgrass, switchgrass biofuels, livestock forage drought impacts, and leveraging harmonized Landsat and Sentinel data to allow invasive species mapping at a 30m resolution. He developed an approach that isolates vegetation dynamics associated with weather from management and disturbance dynamics to aid ecosystem monitoring and understanding.  He has a long history of collecting field data for remote sensing applications.  He was a member of the Multi-Resolution Land Characteristics Consortium team contributing to the development of the 2001 National Land Cover Database data mining mapping approaches.  Dr. Wylie’s service to his discipline includes involvement on multiple master’s and doctoral students’ graduate committees at multiple universities.


Education:  Dr. Wylie has a BS in Range Management from the University of Montana (Range Management/Forestry) and a MS and PhD from the New Mexico State University in Range Science with a minor in Remote Sensing.