LiDAR 1 for Enhanced Forest Inventory (EFI) Development ($173.92)

Building on an assumed introductory knowledge of LiDAR and GIS, participants will gain hands on experience using ArcMap and the 3D Analyst extension (provided in a lab session), as well as the USDA Forest Service’s FUSION software to characterize LiDAR point cloud data, and MS Excel to develop basic regression equations for the derivation of Enhanced Forest Inventory (EFI) predictions based on field calibration plot data. Basic statistical techniques will be discussed and applied, but no background in statistics is required.

Topics include:

• LiDAR primer
  • Basics of LiDAR technology
  • Common terminology
  • Data format and classification standards
• Accessing LiDAR point cloud data from GeoNB
• Decompress GeoNB point cloud data with LAStools
• Create LAS Datasets for use in ArcGIS

About the instructor

Jae Ogilvie is Research Associate in the Faculty of Forestry and Environmental Management at the University of New Brunswick where he teaches undergraduate and graduate-level courses in introductory & advanced GIS and LiDAR. Jae is the primary developer in charge of the continued improvement of the wet areas mapping (WAM) model in the Forest Watershed Research Centre at the University of New Brunswick. Jae has a Masters of Science in Forestry (MScF) degree from the University of New Brunswick, is a Registered Professional Forester (RPF), a Certified Geographic Information Systems Professional (GISP) and is a fellow of the Canadian Rivers Institute (CRI).

• Dates: February 18, 2020
• Time: 8 a.m. – 4 p.m.
• Cost: $173.92 + HST includes coffee breaks, and lunch
• Location: IUC Forestry Building, 28 Dineen Drive
• Contact: Laurie Nason