E Cognition User Summit2009 Pbunting University Wales Forestry

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Trimble Geospatial Munich

Advances in the use of eCognition for forest research and applications

Tecnologia Negócios

Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Forest Mask ,[object Object],[object Object],[object Object],[object Object]

Indexes and Indices for Forest Discrimination ,[object Object],[object Object],[object Object]

Forest Discrimination Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object]

Forest Discrimination Methodology ,[object Object],[object Object]

Hill and Valley Model ,[object Object],[object Object],[object Object],[object Object]

Splitting the Forest into Crowns We locate the bright areas of the crown and grow to the crown edge.

Using a Global Variable ,[object Object],Without With Setup variable Loop until reach the required value Increment the variable

Merging Small Objects ,[object Object],[object Object]

Classifying Tree Crowns ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Examples of Merging Crowns Bright point merging Including small objects Before After Before After Relative Border Relative size Before After Before After

Parco Nazionale d’Abruzzo, Lazio e Molise, Italy www.definiens.com

Object Variables: Mean-lit Spectra ,[object Object],[object Object],[object Object],[object Object],Level 2 Level 1

Object Variables for Tree Species Classification Object Mean Object Variables

An example of tree species classification in Australia Stereo Air-Photo Eucalyptus populnea Eucalyptus melanaphloia

LiDAR Height CASI reflectance LiDAR HSCOI CASI band ratio CASI Tree Crowns ,[object Object],[object Object],[object Object],[object Object],Species Map of crowns from CASI data Biomass Map Stem Locations Integration of CASI/LIDAR Data Branch Locations

Automated delineation of forest communities

Landsat / AIRSAR Classification ,[object Object],[object Object],[object Object],[object Object],[object Object]

Comparison to Landsat CASI Species Crown Cover

Classification of Communities ,[object Object],[object Object]

Long-term change observed from LiDAR, Injune August 2000 – Optech ALTM1020 April 2009 – Riegl LMS-Q560 0m 30m Height Jorg Hacker, Ariborne Research Australia, Alex Lee/John Armston

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E Cognition User Summit2009 Pbunting University Wales Forestry

1. Advances in the use of eCognition for forest research and applications Dr. Pete Bunting

3. Individual Tree Analysis

4. Individual Tree Analysis

9. Individual Tree Analysis

10.

11. Individual Tree Analysis

12. Splitting the Forest into Crowns We locate the bright areas of the crown and grow to the crown edge.

13.

14. Individual Tree Analysis

15.

16. Individual Tree Analysis

17.

18. Individual Tree Analysis

19. Examples of Merging Crowns Bright point merging Including small objects Before After Before After Relative Border Relative size Before After Before After

20.

21.

22. Parco Nazionale d’Abruzzo, Lazio e Molise, Italy www.definiens.com

23.

24. Object Variables for Tree Species Classification Object Mean Object Variables

25. An example of tree species classification in Australia Stereo Air-Photo Eucalyptus populnea Eucalyptus melanaphloia

26.

27. Automated delineation of forest communities

28.

29. Comparison to Landsat CASI Species Crown Cover

30. Identifying thresholds

31. eCognition Process

32.

33. Future Work…

34. Long-term change observed from LiDAR, Injune August 2000 – Optech ALTM1020 April 2009 – Riegl LMS-Q560 0m 30m Height Jorg Hacker, Ariborne Research Australia, Alex Lee/John Armston

35. LiDAR v TLS

36. Thank you for listening [email_address]

Notas do Editor

Species, cover, shannon, Simpson
8% decrease in rainfall..

E Cognition User Summit2009 Pbunting University Wales Forestry

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E Cognition User Summit2009 Pbunting University Wales Forestry

Notas do Editor