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Applicability of personal laser scanning in forestry inventory

Chen, Shilin ; Liu, Haiyang ; Feng, Zhongke ; Shen, Chaoyong ; Chen, Panpan Ribeiro da Silva, Claudionor

PloS one, 2019-02, Vol.14 (2), p.e0211392-e0211392 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Applicability of personal laser scanning in forestry inventory
Autor: Chen, Shilin ; Liu, Haiyang ; Feng, Zhongke ; Shen, Chaoyong ; Chen, Panpan
Ribeiro da Silva, Claudionor
Assuntos: Algorithms ; Analysis ; Biology and Life Sciences ; China ; Computer and Information Sciences ; Conservation of Natural Resources ; Ecology and Environmental Sciences ; Electronic Data Processing ; Engineering and Technology ; Equipment Design ; Forestry ; Forestry - instrumentation ; Forestry - methods ; Forestry - statistics & numerical data ; Forests ; Forests and forestry ; Lasers ; Optical radar ; Professional soccer ; Remote sensing ; Remote Sensing Technology - instrumentation ; Remote Sensing Technology - methods ; Remote Sensing Technology - statistics & numerical data ; Software ; Technology ; Trees - anatomy & histology
É parte de: PloS one, 2019-02, Vol.14 (2), p.e0211392-e0211392
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Descrição: Light Detection and Ranging (LiDAR) technology has been widely used in forestry surveys in the form of airborne laser scanning (ALS), terrestrial laser scanning (TLS), and mobile laser scanning (MLS). The acquisition of important basic tree parameters (e.g., diameter at breast height and tree position) in forest inventory did not solve the problem of low measurement efficiency or weak GNSS signal under the canopy. A personal laser scanning (PLS) device combined with SLAM technology provides an effective solution for forest inventory under complex conditions with its light weight and flexible mobility. This study proposes a new method for calculating the volume of a cylinder using point cloud data obtained by a PLS device by fitting to a polygonal cylinder to calculate the diameter of the trunk. The point cloud data of tree trunks of different thickness were modeled using different fitting methods. The rate of correct tree trunk detection was 93.3% and the total deviation of the estimations of tree diameter at breast height (DBH) was -1.26 cm. The root mean square errors (RMSEs) of the estimations of the extracted DBH and the tree position were 1.58 cm and 26 cm, respectively. The survey efficiency of the personal laser scanning (PLS) device was 30m2/min for each investigator, compared with 0.91m2/min for the field survey. The test demonstrated that the PLS device combined with the SLAM algorithm provides an efficient and convenient solution for forest inventory.
Editor: United States: Public Library of Science
Idioma: Inglês

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Applicability of personal laser scanning in forestry inventory

Chen, Shilin ; Liu, Haiyang ; Feng, Zhongke ; Shen, Chaoyong ; Chen, Panpan Ribeiro da Silva, Claudionor

United States: Public Library of Science

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