Gregory McHale

Greg McHale is a Masters student under Dan Hayes in the School of Forest Resources. His current research focuses on mapping the distribution and vegetation stress of coastal spruce forests in Maine using in-situ and remote sensing data sources. He is utilizing a scaling framework that connects ground-based, unmanned aerial vehicle (UAV), and satellite data […]

Peter Howe

Peter Howe is a Masters student working with Dr. Dan Hayes in the School of Forest Resources. In the Wheatland Lab, Peter works to bring spatial tools and geographic perspectives to his areas of interest in historical ecology and forest management. In his research, Peter uses historical aerial photographs as a landscape record for exploring […]

2023 AGU Meeting

At the 2023 American Geophysical Union meeting in San Francisco, Xinyuan Wei and Daniel Hayes made a significant impact with their presentations on innovative forest research. They introduced a pioneering project for Maine’s working forests, titled “Building a carbon MRV prototype using a stakeholder-driven, landscape model-data framework.” This initiative aims to enhance sustainable forest management […]

Sylvia Noralez

Xinyuan Wei

Xinyuan Wei joined the School of Forest Resources in July 2023 as an Assistant Research Professor. Previously, he worked at Oak Ridge National Laboratory. His research primarily focuses on accounting for carbon storage in forest ecosystems, examining the impacts of climate change and disturbances on forest biomass, applying forest ecosystem simulation models, and studying the […]

UMaine & NASA to map carbon in forests!

Check out this article in Mainebiz about our new project with NASA and the Center for Research on Sustainable Forests to map forest carbon with spaceborne LiDAR!

Leveraging High Resolution Forest Inventory and Satellites to Predict Fire Damage Severity at the Micro-Stand Level

Please join us for our next Wheatland Seminar! Cassidy Rankine Director of Remote Sensing High Resolution Inventory Solutions (HRIS) Wednesday, November 4, 2020 3:00 pm ET via Zoom (https://maine.zoom. us/j/95874189170)

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 […]