A shortest path based tree isolation method for UAV LiDAR data

Pasi Raumonen; B. Brede; A.I. Lau Sarmiento; H.M. Bartholomeus

doi:10.1109/IGARSS47720.2021.9554346

A shortest path based tree isolation method for UAV LiDAR data

Pasi Raumonen^*, B. Brede, A.I. Lau Sarmiento, H.M. Bartholomeus

^*Corresponding author for this work

Research output: Contribution to conference › Conference paper › Academic › peer-review

6 Citations (Scopus)

Abstract

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 applied to 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 the on average the intersection volume of the common voxels between TLS and UAV trees covers 56 % of the TLS tree and 44 % of the UAV trees.

Original language	English
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554346
Publication status	Published - 2021
Event	International Geoscience and Remote Sensing Symposium - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 https://igarss2021.com/

Conference/symposium

Conference/symposium	International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARRS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21
Internet address	https://igarss2021.com/

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10.1109/IGARSS47720.2021.9554346

Cite this

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title = "A shortest path based tree isolation method for UAV LiDAR data",

abstract = "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 applied to 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 the on average the intersection volume of the common voxels between TLS and UAV trees covers 56 % of the TLS tree and 44 % of the UAV trees.",

author = "Pasi Raumonen and B. Brede and {Lau Sarmiento}, A.I. and H.M. Bartholomeus",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554346",

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T1 - A shortest path based tree isolation method for UAV LiDAR data

AU - Raumonen, Pasi

AU - Brede, B.

AU - Lau Sarmiento, A.I.

AU - Bartholomeus, H.M.

PY - 2021

Y1 - 2021

N2 - 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 applied to 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 the on average the intersection volume of the common voxels between TLS and UAV trees covers 56 % of the TLS tree and 44 % of the UAV trees.

AB - 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 applied to 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 the on average the intersection volume of the common voxels between TLS and UAV trees covers 56 % of the TLS tree and 44 % of the UAV trees.

U2 - 10.1109/IGARSS47720.2021.9554346

DO - 10.1109/IGARSS47720.2021.9554346

M3 - Conference paper

T2 - International Geoscience and Remote Sensing Symposium

Y2 - 12 July 2021 through 16 July 2021

ER -

A shortest path based tree isolation method for UAV LiDAR data

Abstract

Conference/symposium

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