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Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR‐species20K dataset.

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Title: Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR‐species20K dataset.
Authors: Puliti, Stefano1 (AUTHOR) stefano.puliti@nibio.no, Lines, Emily R.2 (AUTHOR), Müllerová, Jana3 (AUTHOR), Frey, Julian4 (AUTHOR), Schindler, Zoe4 (AUTHOR), Straker, Adrian5 (AUTHOR), Allen, Matthew J.2 (AUTHOR), Winiwarter, Lukas6 (AUTHOR), Rehush, Nataliia7 (AUTHOR), Hristova, Hristina7 (AUTHOR), Murray, Brent8 (AUTHOR), Calders, Kim9 (AUTHOR), Coops, Nicholas8 (AUTHOR), Höfle, Bernhard10 (AUTHOR), Irwin, Liam8 (AUTHOR), Junttila, Samuli11 (AUTHOR), Krůček, Martin12 (AUTHOR), Krok, Grzegorz13 (AUTHOR), Král, Kamil12 (AUTHOR), Levick, Shaun R.14 (AUTHOR)
Source: Methods in Ecology & Evolution. Apr2025, Vol. 16 Issue 4, p801-818. 18p.
Database: Environment Complete
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  Data: Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR‐species20K dataset.
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  Data: <searchLink fieldCode="JN" term="%22Methods+in+Ecology+%26+Evolution%22">Methods in Ecology & Evolution</searchLink>. Apr2025, Vol. 16 Issue 4, p801-818. 18p.
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