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

IF 6.3 2区环境科学与生态学 Q1 ECOLOGY

Methods in Ecology and Evolution Pub Date : 2025-02-01 DOI:10.1111/2041-210X.14503

Stefano Puliti, Emily R. Lines, Jana Müllerová, Julian Frey, Zoe Schindler, Adrian Straker, Matthew J. Allen, Lukas Winiwarter, Nataliia Rehush, Hristina Hristova, Brent Murray, Kim Calders, Nicholas Coops, Bernhard Höfle, Liam Irwin, Samuli Junttila, Martin Krůček, Grzegorz Krok, Kamil Král, Shaun R. Levick, Linda Luck, Azim Missarov, Martin Mokroš, Harry J. F. Owen, Krzysztof Stereńczak, Timo P. Pitkänen, Nicola Puletti, Ninni Saarinen, Chris Hopkinson, Louise Terryn, Chiara Torresan, Enrico Tomelleri, Hannah Weiser, Rasmus Astrup

引用次数: 0

Abstract

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基于近端感测激光扫描数据的树种分类基准：FOR-species20K数据集的介绍

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来源期刊

Methods in Ecology and Evolution ECOLOGY-

CiteScore

11.60

自引率

3.00%

发文量

236

审稿时长

4-8 weeks

期刊介绍： A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.