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 […]

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.

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!

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)  

New lidR book now available online!

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

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 […]

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 […]