1. Timberlands Limited Improve Value Through an Improved Resource Description The Timberlands Limited Perspective

2. Timberlands Limited Introduction Potential outcomes of better “Resource Description” Remote Sensing Conclusion

3. Timberlands Limited Why Go Down This Path? - Client’s Perspective A well described forest can attract a lower discount rate Earlier acceptance of improved yields Improved cost structures Identify issues and areas of opportunity earlier Buy Low Sell High

4. Timberlands Limited Why Go Down This Path? - Manager’s Perspective Grow your clients business and you grow your own Improved knowledge (usually) leads to improved efficiency and effectiveness; ‘cheaper’ Different way to look at data – very visual Motivation that comes from doing things well One Forest Today Multiple Forests Tomorrow

5. Timberlands Limited Resource Measurement Sample plots Air photographs Ortho photography Satellite imagery LIDAR

6. Timberlands Limited What is Meant by Remote Sensing?

7. Timberlands Limited What Were The Requirements? Client –No more expensive than existing system –Output at least as good as the existing system –Improve profitability  Value  Cost savings –Reasonable likelihood of success Manager –Fit into existing systems –Improve efficiency, effectiveness and profitability –Accepted by users of the data; foresters

8. Timberlands Limited What Will We Get That We Don’t Already Have? More accurate DEM –Improved harvest planning –Reduce hauler area –Stream locations –Perhaps a better understanding of airflow Resource description over the whole forest updated frequently –Identify crop changes sooner and maybe more accurately –Identify crop performance within and across stands –Cost saving likely

9. Relative Stand Performance Using EVI (Enhanced Vegetation Index)

10. Mean EVI – Tile AMean EVI – Tile BSDev EVI – Tile AMean EVI – Tile B Stand Age (P.Rad) Thinning Harvesting Analysing EVI 0 = clearfell/bare land, 1= dense vegetation (plantation forest cover is 0.4 – 0.6) Compare calculated mean/SD to expected mean/SD from P.Rad lookup tables Effective at separating forest from non-forest Effective at determining the degree of canopy closure Cutover 2011 (0.16) – Age 1 Plateaus at ~ Age7 2005 (0.55) – Age 7

11. Stand Variability & Establishment Success Rapideye Ortho Photograph

12. Timberlands Limited Cutover Boundaries

13. Windthrow Identify Unknown Events Quantify and Manage Known Events

14. Existing DEM Digital Elevation Model (DEM) Lidar DEM

15. Digital Elevation Model (DEM) 2011 Orthophotography Lidar DEM

16. Digital Elevation Model (DEM) – 3D Rendering

17. Canopy Height Model Created from the non-ground returns Essentially a surface of the tree heights

18. Timberlands Limited Booking Genetic Gain Earlier Specific Yield Tables - Inventory Based ‘Real’ Yield Gap

19. Timberlands Limited Forest Productivity Research Development of an integrated remote sensing platform Combining genetics and remote sensing to create a phenotyping platform Define productivity gap Target breeding

20. Timberlands Limited Our Competition

21. Timberlands Limited To Conclude...... We see remote sensing playing a big role in how we will describe our forests in the future It’s good for us … the Manager, and it’s good for our clients Its good for research and the industry …and it’s a fast moving area