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Leveraging open-source tools to analyse ground-based forest LiDAR data in South Australian forests

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dc.contributor.authorO'Keeffe, S.
dc.contributor.authorThomas, B.
dc.contributor.authorO'Hehir, J.
dc.contributor.authorRombouts, J.
dc.contributor.authorBalasso, M.
dc.contributor.authorCunningham, A.
dc.date.issued2025
dc.description.abstractThis paper investigates the application of open-source software and methods for forest LiDAR analysis, with a focus on enhancing forest inventory metrics in the radiata pine forests of South Australia’s Green Triangle region. A semi-systematic survey identified 22 relevant open-source tools, evaluated for their capabilities in inventory metric extraction and practicality for implementation in industrial workflows. Ground truth data from radiata pine forests across multiple development stages provided the basis for validating the tools’ precision, accuracy, and practicality. Results showed that stratified tool selection, optimized for each forest development stage, achieved high accuracy for inventory, achieving stem detection rates up to 99.1% and errors as low as 0.94 m for height and 1.18 cm for diameter at breast height (DBH) in specific cases. Additionally, we provide scripts to support future research, discuss the limitations of our approach, and propose solutions to address these gaps in future implementations. Our findings highlight the utility of open-source tools to optimize forest inventory workflows through stratified, modular approaches.
dc.identifier.citationRemote Sensing, 2025; 17(11, article no. 1934):1-28
dc.identifier.doi10.3390/rs17111934
dc.identifier.issn2072-4292
dc.identifier.issn2072-4292
dc.identifier.orcidCunningham, A. [0000-0003-2536-3011]
dc.identifier.urihttps://hdl.handle.net/11541.2/43435
dc.language.isoen
dc.publisherMDPIAG
dc.rightsCopyright 2025 The author(s) (https://creativecommons.org/licenses/by/4.0/) Access Condition Notes: This is an open access article
dc.source.urihttps://doi.org/10.3390/rs17111934
dc.subjectLIDAR
dc.subjectforest
dc.subjectopen-source
dc.subjectSouth Australia
dc.titleLeveraging open-source tools to analyse ground-based forest LiDAR data in South Australian forests
dc.typeJournal article
pubs.publication-statusPublished
ror.fileinfo12302242150001831 13302242140001831 Open Access Published Version
ror.mmsid9916975630301831

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