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8/12/2019 Web-LiDAR forest inventory: TreeExtractor application
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Tutorial Web -LiDAR forest inventTree Extractor application - P
USDA - Rocky Mountain Research Station - RMRS
SILVA, C.A.; HUDAK, A. T.; CROOKSTON, N. L. (2014)
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Input and subset by height threshold Find the highest point
Tree crown radiusClassification
Other trees Target tree
The flowchart of the Tree Extractor algorithm; i refers to This a lgorithm is adapted from Li, W., Guo, Q., Jakubowski, M., Ke
Method for Segmenting Individual Trees from the Lidar Point CloEngineering & Remote Sensing 78: 75-84.
LiDAR data(.las)
Subset by tree heightthreshold
Find the highest point
Variable treecrown radius ?
Yes
Tree crown radiusestimation
Classification
Empty?No Yes
Other trees
i=i+1
1. How does thealgorithm works?
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I. File size limitation forupload is 50 MB
II. The input must to be aLiDAR data height-normalized
2. Input LiDAR data (.las)
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Default = 1.37 m
3. Height Threshold ( m ) parameter
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2 m 2 m 2 m
4. Tree crown radius ( m ) Fixed Radius
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1.5 m
2 m
The deciduous, pines andare fromPopescu and Wy
Popescu, S.C. and R.H. Wthe trees in the foremultispectral data fusion wvariable window size forPhotogramm etric EnginSensing 70(5): 589-604.
2.3 m
0
5
10
15
20
25
30
0 3 6 9 12 15 18
C r o w n w
i d t h ( m )
Deciduo
Pines
Combine
Crown Radius =
5. Tree crown radius ( m ) Variable Radius
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6. Background and legend color
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If the checkbox are selechoose the colors for
trunk and axes
The tree trunks are drawn bylocation of the highest point ipoint cloud of the trees
7. Plot tree trunk and axes
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8. Start the LiDAR data processing
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Summary of the LiDAR Metr
Profile viewer of the LiDAR d
3D LiDAR viewer
9. LiDAR data viewer
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10. Download the extracted trees and thecorresponding LiDAR data
The target treby the
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Acknowledgement:Funding to support Carlos Silvas development of Web-LiDAR and its underlying functions wasprovided through a grant (RC-2243) from the Department of Defense Strategic Environmental Researchand Development Program: Patterns and processes: monitoring and understanding plant diversity infrequently burned longleaf pine landscapes. J. OBrien, PI; R. Mitchell, A. Hudak, L. Dyer, Co-PIs.
The LiDAR data provided as an example dataset is from a longleaf pine forest at Eglin AFB.collection was funded by a grant (11-2-1-11) from the Joint Fire Science Program: Data set for fuels, firebehavior, smoke, and fire effects model development and evaluation the RxCADRE project. R. OPI; multiple Co-Is.
Objective:Web-LiDAR was developed to support lidar-based forest inventory and management at Eglin Air Force Base (AFB), Florida, USA. However, it has general applicability to other forests in other ecosystems, and we encourage users to test it broadly.