Kevaughan Smith

Kevaughan Smith is an MS candidate in the School of Forest Resources. He earned his BS in Environmental Studies from the University of Maine at Fort Kent in May 2020. His most recent work involved combining high-resolution aerial hyperspectral scans of Boreal and Arctic tundra communities with specimen-based ground-truthed data, to generate fine-scale, species-level vegetation […]

Airborne Hyperspectral Data Application in Health Stress Detection of Blueberry Fields and Ash Trees

Advanced detection of health stress in agricultural fields and forests can prompt management responses to mitigate detrimental conditions such as nutrient deficiencies, disease, and mortality. New applications in hyperspectral data and imaging spectroscopy on agriculture and forests have shown the potential for early stress detection. We build on previous work by assessing two different systems; […]

Wouter Hantson

Wouter Hantson is a PhD candidate in the School of Forest Resources.  His research focuses on investigating the patterns of vegetation-permafrost dynamics as determined by landscape-scale disturbance.  His research activities are organized within three objectives designed to build a scaling framework to: Measure the local-scale heterogeneity of vegetation composition and structure along gradients of disturbance […]

Investigating the patterns of vegetation-permafrost dynamics as determined by landscape-scale disturbance

The University of Maine conducts research in collaboration with Brookhaven National Laboratory and Oak Ridge National Laboratory toward a subset of science objectives outlined in the Phase 3 proposal of the Next-generation Ecosystem Experiments (NGEE) in the Arctic. The NGEE-Arctic project is using observations, experiments and modeling to improve our predictive understanding of Arctic ecosystem […]

Catherine Chan

Catherine Chan is an MS candidate in the School of Forest Resources.  Her research is focused on the advanced detection of health stress in agricultural fields and forests, which can prompt management responses to mitigate detrimental conditions such as nutrient deficiencies and disease.  New applications in hyperspectral data and imaging spectroscopy to agriculture and forests […]

Dan Hayes

Ph.D. Oregon State University (2006) M.S. University of Maine (1999) B.S. SUNY ESF (1996)   My research, teaching and outreach interests broadly involve scaling questions and geospatial applications in forests and ecosystems.  My research activities range from historical remote sensing analysis of tropical deforestation to biogeochemical modeling of ecosystem-climate feedbacks in the Arctic; from airborne measurement of forest […]