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’s research focuses primarily on understanding the terrestrial biosphere carbon cycle with process-based earth system models. His work involves analyzing the effects of fire on the global terrestrial biosphere carbon cycle, investigating the interactions between climate extremes and the land-atmospheric carbon flux, modeling the land-to-ocean dissolved organic carbon flux.
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)
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 […]
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 […]
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 […]