Graduate Research Assistantships in Remote Sensing Forest Inventory and Carbon Monitoring

The School of Forest Resources at the University of Maine is currently recruiting potential students for graduate research assistantship positions (M.S. and PhD) in remote sensing of forests. This represents an exciting opportunity for skilled and motivated students to gain experience in – and contribute to – high level science and state-of-the-art applications in 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!

Spectroscopy of plants – What light spectra can tell us about functional, taxonomic, and phylogenetic plant biodiversity

Please join us for our next Wheatland Seminar! Anna K. Schweiger Postdoctoral Researcher University of Zurich & Université de Montréal Wednesday, November 18, 2020 1:00 pm ET via Zoom (https://maine.zoom. us/j/95874189170)

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)

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 here!

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 […]