HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Individual tree extraction from terrestrial laser scanning data via graph pathing

Abstract : Background: Individual tree extraction from terrestrial laser scanning (TLS) data is a prerequisite for tree-scale estimations of forest biophysical properties. This task currently is undertaken through laborious and time-consuming manual assistance and quality control. This study presents a new fully automatic approach to extract single trees from large-area TLS data. This data-driven method operates exclusively on a point cloud graph by path finding, which makes our method computationally efficient and universally applicable to data from various forest types. Results: We demonstrated the proposed method on two openly available datasets. First, we achieved state-of-the-art performance on locating single trees on a benchmark dataset by significantly improving the mean accuracy by over 10% especially for difficult forest plots. Second, we successfully extracted 270 trees from one hectare temperate forest. Quantitative validation resulted in a mean Intersection over Union (mIoU) of 0.82 for single crown segmentation, which further led to a relative root mean square error (RMSE%) of 21.2% and 23.5% for crown area and tree volume estimations, respectively. Conclusions: Our method allows automated access to individual tree level information from TLS point clouds. The proposed method is free from restricted assumptions of forest types. It is also computationally efficient with an average processing time of several seconds for one million points. It is expected and hoped that our method would contribute to TLS-enabled wide-area forest qualifications, ranging from stand volume and carbon stocks modelling to derivation of tree functional traits as part of the global ecosystem understanding.
Complete list of metadata

https://hal.inrae.fr/hal-03430181
Contributor : Yannick Brohard Connect in order to contact the contributor
Submitted on : Tuesday, November 16, 2021 - 10:00:55 AM
Last modification on : Tuesday, January 4, 2022 - 6:45:36 AM
Long-term archiving on: : Thursday, February 17, 2022 - 6:18:35 PM

File

Wang_etal_Forest_Ecosyst_2021_...
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Di Wang, Xinlian Liang, Gislain Ii Mofack, Olivier Martin-Ducup. Individual tree extraction from terrestrial laser scanning data via graph pathing. Forest Ecosystems, Springer, 2021, 8 (1), ⟨10.1186/s40663-021-00340-w⟩. ⟨hal-03430181⟩

Share

Metrics

Record views

19

Files downloads

23