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1 
Basal Area from Photopoints….. 
Is it possible? 
Ben Sparrow TERN Ausplots
Ways it is currently obtained 
2 
Basal Wedge 
DBH Measurement 
Terrestrial LiDAR
An Alternative: 
A New Photopoint method 
Photo Layout 
3 
•24mm Focal Length 
•Aperture = F11 
•ISO 100 
•Raw Format (+/-...
A New Photopoint method 
The Tripod 
4 
Tripod and Star 
Picket setup 
If terrain not flat 
then attempt to copy 
the aver...
A New Photopoint method 
Raw outputs 
5 
ETC.
The Scene Reconstruction Process 
6 
Identifes Like features in images pairs 
Uses this to calculate camera location 
Usin...
DBH Calculations 
Trunks then identified Spectrally, but including 3D 
information 
A Cylinder is fitted to each trunk 
Th...
Trunk Identification and Basal area 
calculation 
8
Other outputs: pointclouds 
9
Other Outputs: Panoramas 
10
Benefits 
11
Benefits 
12 
Method 
Cost 
Equipment Cost Staff Time Accuracy 
Direct Harvesting * *** *** *** 
Basal Wedge * * * * 
DBH ...
Future work 
13 
Take account of Occlusion 
Trial and accuracy assess in a variety of ecosystems 
Determine method variati...
Contact us: 
14 
Ben Sparrow – Ben.sparrow@adelaide.edu.au 
Thanks to Co-authors/ More Information: 
Technical / Processin...
Link To Video
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Basal area from_photos___is_it_possible?

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A presentation detailing our method for extracting basal area measures from a suite of field photographs.

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Basal area from_photos___is_it_possible?

  1. 1. 1 Basal Area from Photopoints….. Is it possible? Ben Sparrow TERN Ausplots
  2. 2. Ways it is currently obtained 2 Basal Wedge DBH Measurement Terrestrial LiDAR
  3. 3. An Alternative: A New Photopoint method Photo Layout 3 •24mm Focal Length •Aperture = F11 •ISO 100 •Raw Format (+/- JPG) •1.3m to centre of lens •Calibration target used •2.5m Baseline •DGPS Location recorded
  4. 4. A New Photopoint method The Tripod 4 Tripod and Star Picket setup If terrain not flat then attempt to copy the average slope.
  5. 5. A New Photopoint method Raw outputs 5 ETC.
  6. 6. The Scene Reconstruction Process 6 Identifes Like features in images pairs Uses this to calculate camera location Using Camera location information projects information into 3d space
  7. 7. DBH Calculations Trunks then identified Spectrally, but including 3D information A Cylinder is fitted to each trunk The Cylinder is cut at 1.3m (DBH) and the area of the cross section is calculated (DBH for the individual tree) These DBH’s are then summed for the whole site. Currently hasa max depth of view, but improvements being worked on.
  8. 8. Trunk Identification and Basal area calculation 8
  9. 9. Other outputs: pointclouds 9
  10. 10. Other Outputs: Panoramas 10
  11. 11. Benefits 11
  12. 12. Benefits 12 Method Cost Equipment Cost Staff Time Accuracy Direct Harvesting * *** *** *** Basal Wedge * * * * DBH measures * *** *** *** LIDAR *** *** *** *** Photopoints ** * * **
  13. 13. Future work 13 Take account of Occlusion Trial and accuracy assess in a variety of ecosystems Determine method variation needed for different environments Automate processing (Work Commenced) – Submission for the public using a web interface Manage Huge Datasets Process our archive of 300+ Sites
  14. 14. Contact us: 14 Ben Sparrow – Ben.sparrow@adelaide.edu.au Thanks to Co-authors/ More Information: Technical / Processing – Ben Ward and Anton van den Hengel Field Application – Nikki Thurgate, Stefan Caddy- Retalic and Andrew Lowe. Combination with Lidar – John Armston, Mick Schaefer, Jasmine Muir and Stuart Phinn
  15. 15. Link To Video

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