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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    [email protected]

    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.