A Shortest Path Based Tree Isolation Method for UAV LiDAR Data

Raumonen, Pasi; Brede, Benjamin; Lau, Alvaro; Bartholomeus, Harm (2021)
 
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Raumonen, Pasi
Brede, Benjamin
Lau, Alvaro
Bartholomeus, Harm
2021

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doi:10.1109/IGARSS47720.2021.9554346
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https://urn.fi/URN:NBN:fi:tuni-202301101237

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Peer reviewed
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A description and test results for a new method for automatically isolating individual trees from UAV LiDAR point clouds is presented. The isolation method is based on shortest path computations with height from the ground working as a restriction. The method is tested on a 4 ha tropical forest plot, which is also scanned with TLS to provide comparison data for the isolation results. The comparison results show that on average the intersection volume of the common voxel volume between TLS and UAV trees covers 56 % of the TLS tree and 44 % of the UAV trees.
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