Moving Beyond Enhanced Forest Inventory (EFI): Accelerating the Digitalization of the Forest Value-Chain

Please join us for next week’s Wheatland Seminar! Adam Dick Forest Research Project Leader Canadian Wood Fibre Centre / Canadian Forest Service Wednesday, October 14, 2020 3:00 pm ET via Zoom (https://maine.zoom. us/j/95874189170)  

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 […]

New lidR book now available online!

Nice to see some new resources for lidR are now available!

Dwight B. Demeritt Forest featured in UMaine Today – Spring/ Summer 2020 issue

This feature article in the Spring/ Summer 2020 issue of UMaine Today provides an excellent overview of the history and use of the Dwight B. Demeritt Forest nearby the UMaine campus in Orono.  WGL faculty and staff use this forest to teach labs for SFR106 – Forest Land Navigation & Outdoor Preparedness and SFR406 – […]

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 […]

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 […]

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.

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, […]