The Operational Lidar Inventory (OLI) virtual meeting will be April 6, 2022, from 9 – 5 p.m., (PDT). The meeting is focused on operational and near-operational remote sensing technologies in forest inventory and monitoring.

To learn more and register, visit https://westernforestry.org/upcoming-conferences/2022-operational-lidar-inventory-oli-meeting.

Agenda

8:30        Welcome / Intro – Jacob Strunk, USFS, FIA

8:45        Current status and application of airborne lidar in Canadian forest inventory programs – Piotr Tompalski, Canadian Forest Service

9:15        Individual tree detection and characterization using high-density UAS lidar data – Bob McGaughey, USFS, PNW

9:45        Break / Optional Breakout

10:00     A fast algorithm for estimation of stem dimensions, lean and sweep irrespective the position of the tree – Bogdan Strimbu, OSU

10:30     FVS Growth Projections from Lidar kNN Inventory – Jacob Strunk, USFS, FIA

11:00     Multi-year Photogrammetric Point Cloud QA Approaches – Jonathan Kane, UW, PFC

11:30     Exploring the innovation potential of single photon lidar for large area forest inventories – Joanne White, Canadian Forest Service

12:00     Lunch Break /  Optional Breakout

12:30     Integrating imagery into the lidar classification workflow – Andrew Brenner, QSI

1:00     Assessment of individual tree detection algorithms from Lidar  – Aaron Sparks, Univ. of  Idaho

1:30     Lidar Repository, DAP Project – Andrew Cooke, Univ. of WA

2:00     Vegetation structure model updates from the Forest Service Pacific Northwest Region – Karin Wolken, USFS, R6

2:30     Break / Optional Breakout

3:00     TLS data to estimate aboveground biomass of open-grown urban and rural forest trees – Georgios Areseniou et.al., Mich. State U.

3:30     Lidar-based site index and satellite-based forest species composition  – Tom Baribault, Mason Bruce

4:00     Coarse woody debris detection on the Malheur National Forest using airborne laser scanning  – Laura Dempsey, N. Carolina St. Univ.

4:30     Specifying geospatial data product characteristics for forest and fuel management applications – Arjan Meddens, WA State University

5:00     Adjourn