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 […]

Sylvia Noralez

Stephanie Willsey

Stephanie Willsey is a 2nd year Masters student under Dan Hayes in the School of Forest Resources at the University of Maine. Her current research focuses on how calibration plot data affects enhanced forest inventories in Maine. Before becoming a member of the Barbara Wheatland Geospatial Lab, she was a Master of Forestry student at […]

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 […]

Getting Started with QGIS

This short hands-on workshop will provide an introduction to QGIS and cover topics such as adding and creating geospatial data, building maps, and editing and sharing geospatial data.  The workshop is designed for new and beginner GIS users.  Basic computer skills are required. To attend this workshop, please RSVP online.

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)

Planes, UAVs, and AI to count seabirds in coastal Maine

Two recent articles on an interdisciplinary research project to develop AI tools for automated seabird surveys in coastal Maine using plane and UAV-based aerial imagery. Bangor Daily News article here UMaine News article here  

Forest Disturbance Detection and Aboveground Biomass Modeling Using Moderate-Resolution, Time-Series Satellite Imagery

Human-induced and natural disturbances are an important feature of forest ecosystems. Disturbances influence forest structure and composition and can impact crucial ecosystem services. However, deriving spatially explicit estimates of past forest disturbance across a large region can prove challenging. Researchers have recognized that remote sensing is an important tool for monitoring forest ecosystems and mapping […]

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 […]