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Original Articles

Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds

, , , , &
Pages 344-353 | Received 22 May 2012, Accepted 24 Sep 2012, Published online: 15 Oct 2012

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (6)

Jianpeng Zhang, Jinliang Wang, Pinliang Dong, Weifeng Ma, Yicheng Liu, Qianwei Liu & Zhiyan Zhang. (2022) Tree stem extraction from TLS point-cloud data of natural forests based on geometric features and DBSCAN. Geocarto International 37:25, pages 10392-10406.
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Covadonga Prendes, Carlos Cabo, Celestino Ordoñez, Juan Majada & Elena Canga. (2021) An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster. GIScience & Remote Sensing 58:7, pages 1130-1150.
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Mikko Vastaranta, Xiaowei Yu, Ville Luoma, Mika Karjalainen, Ninni Saarinen, Michael A. Wulder, Joanne C. White, Henrik J. Persson, Markus Hollaus, Tuomas Yrttimaa, Markus Holopainen & Juha Hyyppä. (2018) Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy. International Journal of Remote Sensing 39:23, pages 8766-8783.
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Yi Lin, Tian Wei, Bin Yang, Yuri Knyazikhin, Yuhu Zhang, Hisashi Sato, Xing Fang, Xinlian Liang, Lei Yan & Shanlin Sun. (2017) TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest. International Journal of Digital Earth 10:7, pages 701-718.
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Joanne C. White, Nicholas C. Coops, Michael A. Wulder, Mikko Vastaranta, Thomas Hilker & Piotr Tompalski. (2016) Remote Sensing Technologies for Enhancing Forest Inventories: A Review. Canadian Journal of Remote Sensing 42:5, pages 619-641.
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Ville Kankare, Eetu Puttonen, Markus Holopainen & Juha Hyyppä. (2016) The effect of TLS point cloud sampling on tree detection and diameter measurement accuracy. Remote Sensing Letters 7:5, pages 495-502.
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Articles from other publishers (53)

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Shes Kanta Bhandari & Subrata Nandy. (2023) Forest Aboveground Biomass Prediction by Integrating Terrestrial Laser Scanning Data, Landsat 8 OLI-Derived Forest Canopy Density and Spectral Indices. Journal of the Indian Society of Remote Sensing.
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Asadilla Yusup, Ümüt Halik, Maierdang Keyimu, Tayierjiang Aishan, Abdulla Abliz, Babierjiang Dilixiati & Jianxin Wei. (2023) Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models. Forest Ecosystems 10, pages 100082.
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Hospice A. Akpo, Gilbert Atindogbé, Maxwell C. Obiakara, Arios B. Adjinanoukon, Madaï Gbedolo & Noël H. Fonton. (2021) Accuracy of common stem volume formulae using terrestrial photogrammetric point clouds: a case study with savanna trees in Benin. Journal of Forestry Research 32:6, pages 2415-2422.
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Mihai Daniel Niță. (2021) Testing Forestry Digital Twinning Workflow Based on Mobile LiDAR Scanner and AI Platform. Forests 12:11, pages 1576.
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Jingqian Sun, Pei Wang, Zhiyong Gao, Zichu Liu, Yaxin Li, Xiaozheng Gan & Zhongnan Liu. (2021) Wood–Leaf Classification of Tree Point Cloud Based on Intensity and Geometric Information. Remote Sensing 13:20, pages 4050.
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Yining Lian, Zhongke Feng, Yongjian Huai, Hao Lu, Shilin Chen & Niwen Li. (2021) Terrestrial Videogrammetry for Deriving Key Forest Inventory Data: A Case Study in Plantation. Remote Sensing 13:16, pages 3138.
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Zhenyang Hui, Shuanggen Jin, Yuanping Xia, Leyang Wang, Yao Yevenyo Ziggah & Penggen Cheng. (2021) Wood and leaf separation from terrestrial LiDAR point clouds based on mode points evolution. ISPRS Journal of Photogrammetry and Remote Sensing 178, pages 219-239.
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