- This event has passed.
2022 Operational Lidar Inventory (OLI) Meeting
April 6 @ 9:00 am - 5:00 pm
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.
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