1. Welcome
2018 OLI Meeting

2. Emergency Exits, Restrooms

3. Gone Too Soon Sep 22, 1977 - Aug 16, 2017 (Age 39)
Survived by wife and daughter, as well as siblings and parents
Donations to daughter’s education fund:

4. Survey Results

6. Note
Pie charts are a very bad way of displaying information. The eye is good at judging linear measures and bad at judging relative areas. A bar chart or dot chart is a preferable way of displaying this type of data.

13. Operational Use of Lidar in Forest Inventory

14. Operational Aspects
Estimate Vol, BA, TPA, Biomass, QMD, Crown Bulk Density, etc.
Hi-Res wall-to-wall maps*
Increase estimation efficiency
Populate stands dynamically (from rasters)
Fast (1 year, not 1 month)
Hi-Res digital terrain model
Hi-Res canopy surface model
Forest / non-forest
Ecological variables
< $1 / ac*
Repeatable
Simple
Small mgmt / contracting efforts

15. Operational Aspects Hi-Res wall-to-wall maps
Estimate Vol, BA, TPA, Biomass, QMD, Crown Bulk Density, etc.
Hi-Res wall-to-wall maps
Increase estimation efficiency
Dynamic stand population
Fast (1 year, not 1 month)
Hi-Res digital terrain model
Hi-Res canopy surface model
Forest / non-forest
Ecological variables
< $1 / ac*
Repeatable
Simple
Small mgmt / contracting efforts

16. Operational Aspects < $1 / ac (<$0.10 / ac – lidar & phodar)
Estimate Vol, BA, TPA, Biomass, QMD, Crown Bulk Density, etc.
Hi-Res wall-to-wall maps
Dynamic stand population
Fast (1 year, not 1 month)
Hi-Res digital terrain model
Hi-Res canopy surface model
Forest / non-forest
Ecological variables
< $1 / ac (<$0.10 / ac – lidar & phodar)
Repeatable
Simple
Small mgmt / contracting efforts
Point cloud from
frame based imagery

17. Semi-Operational Use of Lidar in Forest Inventory

18. Semi-Operational Aspects
HW / SW
Diameter distribution
Automated stand delineation*
Tree (object) segmentation
Automated Stream delineation
Automated Road delineation
Multi-inventory integration
Lidar vs Phodar etc.

19. Semi-Operational Aspects
HW / SW
Diameter distribution
Automated stand delineation*
Tree (object) segmentation
Automated Stream delineation
Automated Road delineation
Multi-inventory integration
Lidar vs Phodar etc.*

20. Semi-Operational Aspects
Lidar NAIP-DSM
HW / SW
Diameter distribution
Automated stand delineation
Tree (object) segmentation
Automated Stream delineation
Automated Road delineation
Multi-inventory integration
Lidar vs Phodar etc.*
Lidar Frame Camera

21. Research Topics in Use of Lidar in Forest Inventory

22. Research Topics Species prediction Lidar/Tree-based inventory
Change detection
Growth & lidar inventory
Component prediction
Inventory tools, modeling approaches (R, Python, etc)

23. Operational Gaps in Use of Lidar in Forest Inventory

24. Operational Gaps Required technical capacity Consultants Software*
Training

25. Operational Gaps Software Required technical capacity Consultants
LIDAR DATA
Required technical capacity
Consultants
Software
Training

26. How to Proceed Professional Training program
Add lidar inventory to curricula (OSU, UW)
Partnership: Academic – Private - Public – Consultants
Identify operational gaps
Fill them (lots of low hanging fruit)
Lidar inventory is very feasible, just need a consolidated effort
Too much wasted effort on parallel development

27. Thank You - end