Accuracy of tree mapping based on hand-held laser scanning comparing leaf-on and leaf-off conditions in mixed forests

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外文摘要：The use of mobile laser scanning to survey forest ecosystems is a promising,scalable technology to describe forest 3D structures at high resolution.To confirm the con-sistency in the retrieval of forest structural parameters using hand-held laser scanning(HLS),before operationalizing the method,confirming the data is crucial.We analyzed the per-formance of tree-level mapping based on HLS under differ-ent phenology conditions on a mixed forest in western Spain comprising Pinus pinaster and two deciduous species,Alnus glutinosa and Quercus pyrenaica.The area was surveyed twice during the growing season(July 2022)and once in the deciduous season(February 2022)using several scan-ning paths.Ground reference data(418 trees,15 snags)was used to calibrate the HLS data and to assess the influence of phenology when converting 3D data into tree-level attrib-utes(DBH,height and volume).The HLS-based workflow was robust at isolating tree positions and recognizing stems despite changes in phenology.Ninety-six percent of all pairs matched below 65 cm.For DBH,phenology barely altered estimates.We observed a strong agreement when comparing HLS-based tree height distributions.The values exceeded 2 m when comparing height measurements,confirming height data should be carefully used as reference in remote sensing-based inventories,especially for deciduous species.Tree volume was more precise for pines(r=0.95,and rela-tive RMSE=21.3-23.8％)compared to deciduous species(r=0.91-0.96,and relative RMSE=27.3-30.5％).HLS data and the forest structural complexity tool performed remark-ably,especially in tree positioning considering mixed forests and mixed phenology conditions.

外文关键词：

Precision forestryForest monitoringMobile laser scanningForest inventory

作者：

Frederico Tupinambá-Sim?es、Adrián Pascual、Juan Guerra-Hernández、Cristóbal Ordó?ez、Tiago de Conto、Felipe Bravo、Yanbo Hu

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作者单位：

iuFOR,Sustainable Forest Management Research Institute,University of Valladolid & INIA,Valladolid,Spain

Department of Geographical Sciences,University of Maryland,College Park,MD 20742,USA

Forest Research Centre,School of Agriculture,University of Lisbon,Tapada da Ajuda,1349-017 Lisbon,Portugal

基金：

ETN Skill-ForAction project from the European Union's Horizon 2020 research and innovation program under the Marie Sk?odowska-CurieJunta de Castilla y León "CLU-2019-01 and CL-EI-2021-05-iuFOR Institute Unit of Excellence"of the University of ValladolidEuropean Regional Development Fund(ERDF"Europe drives our growth")

项目编号：

956355

出版年：

2024

DOI：

10.1007/s11676-024-01747-1

林业研究(英文版)

东北林业大学,中国生态学学会

林业研究(英文版)

CSTPCDEI

影响因子：0.365

ISSN：1007-662X

年,卷(期)：2024.35(5)