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 […]

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 […]

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 […]

An Assessment of Aerial Survey Acquisition Methods for Generating Forest Inventory Models

Structure from motion (SfM) derived three dimensional (3D) point clouds have performed well in comparison to airborne laser scanning (ALS) in generating timber inventory models, yet little has been done to assess the viability of a wide range of aerial image acquisition methods for developing these models. Remote sensing factors such as sensor reflectance characteristics, […]

Dave Sandilands

Dave is responsible for the coordination, planning, and implementation of aerial survey flight missions and image processing workflows.  He supports the technical instruction of geospatial and remote sensing applications to SFR graduate and undergraduate students, forest industry professionals, small woodland owners, and various government and non-profit entities.   Dave brings his extensive aviation experience to the […]

Tony Guay

Tony provides remote sensing and geospatial training to stakeholders in Maine’s forest sector, including industry professionals, small woodland owners, and conservation partners. He supports geospatial science teaching and research efforts in the School of Forest Resources at UMaine, and is responsible for outreach and coordination with various stakeholders throughout the state. Tony is a founding […]

Elias Ayrey

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.