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 […]

Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Forest Inventories of New England

For two decades Light Detection and Ranging (LiDAR) data has been used to develop spatially-explicit forest inventories. Data derived from LiDAR depict three-dimensional forest canopy structure and are useful for predicting forest attributes such as biomass, stem density, and species. Such enhanced forest inventories (EFIs) are useful for carbon accounting, forest management, and wildlife habitat […]

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; […]

The Effects of Climate Change on Forest Ecosystem Phenology and its Impacts on Tourism in Maine

Over the past 25 years, the average annual temperature in Maine increased by nearly 2 °C and is predicted to continue rising if global carbon emissions are not reduced. Climate warming is affecting the social and ecological systems of the northeastern U.S., including changes in the seasonal timing and duration of biophysical processes. Phenology is […]

A synthesis study of the terrestrial ecosystem carbon cycle at various temporal and spatial scales

This research includes analyzing the impacts of wildfires on the global terrestrial biosphere carbon cycle, assessing the patterns of biome carbon fluxes in response to droughts at different time scales, and estimating carbon fluxes with Terrestrial Ecosystem Model. This includes modeling the lateral dissolved organic carbon (DOC) flux into an earth system model. The lateral […]

State of Maine’s Carbon Budget, 2006-2016 (version 1.0)

Wheatland Lab members Xinyuan Wei & Dan Hayes contributed to the newly released State of Maine Carbon Budget.

CFRU Winter Advisory Meeting

The Wheatland Lab will be giving our year one project update for our CFRU project entitled “Measurements, Models and Maps: Large-area Forest Inventory from Airborne LiDAR Data” during the 2020 winter advisory meeting.

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 […]

Valeria Briones

Valeria Briones is an MS candidate in the School of Forest Resources.  Climate warming is affecting the social and ecological systems of the northeastern U.S., including changes in the seasonal timing and duration of biophysical processes.  Phenology is the repeated occurrence of seasonal cycles, which are influenced by climate, thus it is important to understand […]

Xinyuan Wei

Xinyuan Wei is a PhD candidate in the School of Forest Resources.  His research is focused on (1) the impacts of wildfires on the global terrestrial biosphere carbon cycle, (2) the patterns of biome carbon fluxes in response to droughts at different time scales, (3) modeling the dissolved organic carbon flux, and (4) estimating carbon […]