SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

PERSONAL LASER SCANNING TECHNOLOGY FOR 3D MAPPING AND FOREST INVENTORY

Maria Asenova, Georgi Donchev, Evgeni Evangelov

First published: 2022-11-15https://doi.org/10.5593/sgem2022/2.1/s10.41View metrics

Abstract

LiDAR technology expands the possibilities for forest inventory using aerial and terrestrial scanning. A technological scheme for terrestrial personal laser scanning (PLS) has been developed in order to extract numerical tree parameters. The aim of the paper is to determine the characteristics of individual trees and average taxation indicators of forest stands via terrestrial PLS method. The PLS system includes Sensor Ouster OS1-16, mounted on a folding monopod and mini PC for control and recording of primary raw data, the base of creation of the 3D cloud of points. Google Cartographer is a system that provides simultaneous localization and 2D and 3D mapping. Cloud 3D model of the forest area was created by SLAM algorithm (Simultaneous Localization and Mapping). The result from SLAM is a 3D point cloud model in local coordinate system, which is transformed to WGS 84 (UTM 35N) coordinates via GPS data captured with LiDAR and IMU data. The 3D model is additionally processed by specialized application software Cloud Compare, LiDAR 360 and 3D Forest. An integrated algorithm is implemented through the software 3D Forest for segmentation of individual trees and determine their dendrometric parameters- height, diameter of the stem at breast height (DBH), structural data for the crown (diameter, length, height, area, volume), stem volume, and other. Study sites are forest stands on the territory of the South-Eastern Forest Enterprise (Sliven, Bulgaria). The sample plots are selected in accordance with the normative requirements for inventory and planning in forest territories of Bulgaria. The strip sampling method is based on a percentage system - limited proportion of the area is measured, on the assumption that the samples are typical of the entire stand. The obtained results for the individual trees are compared with the data from the parallel performed conventional field measurements at the sites. The differences between the measured by field methods and the PLS method tree height and stem diameter DBH of an individual trees and average data of a forest stands are within the normatively permissible limits in the forestry. Application of the PLS method combined with the SLAM algorithm provides the process of forest inventory and with the ability for fast, objective, and accurate measurement of individual trees and forest stands. The PLS method is a new reliable technological approach for 3D forest inventory and study of forest areas. Created 3D cloud models of forest stands are a qualitatively new type of objective data, which is a step towards to the future and creating of a new forestry database in Bulgaria.

Publication Impact Profile

PlumX
  • Citations
  • Policy Citation - Policy Citations: 1
  • Scopus - Citation Indexes: 3
  • Captures
  • Mendeley - Readers: 11

Publication details

Title
PERSONAL LASER SCANNING TECHNOLOGY FOR 3D MAPPING AND FOREST INVENTORY
Authors
Maria Asenova, Georgi Donchev, Evgeni Evangelov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2022
Pages
347-354
SWS Citekey
Asenova202210347354
ISSN
1314-2704
ISBN
978-619-7603-40-8
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References13
  1. Chen S., Liu H., Feng Z., Shen C., Chen P. 2019. Applicability of personal laser scanning in forestry inventory. PLOS ONE 14(2):e0211392. DOI: 10.1371/journal.pone.0211392

  2. Donchev G. Determination of tree parameters of forest stands using terrestrial laser scanning data. Journal �Geodesy, Cartography, Land Management�, Union of Surveyors and Land Managers in Bulgaria, Sofia, Vol. LX, No 1-2/2021, p. 23-29.

  3. Hardware User Guide. Release v1.13.0. OS1-16/64 High Resolution Imaging Lidar. Nov 07, 2019. https://data.ouster.io/downloads/hardware-user-guide-v1.13.0.pdf

  4. Hyyppa, E. J., Jaakkola A., Chen Y., Kukko A. Unconventional LIDAR mapping from air, terrestrial and mobile Photogrammetric Week '13 Dieter Fritsch (Ed.) Wichmann/VDE Verlag, Belin&Offenbach, 2013. 205-214 p.

  5. Kankare V., Holopainen M., Vastaranta M., Puttonen E., Yu X., Hyyppa. J., et al. Individual tree biomass estimation using terrestrial laser scanning. ISPRS Journal of Photogrammetry&Remote Sensing. 2013, 75 (328):64-75 p. DOI: 10.1016/j.isprsjprs.2012.10.003

  6. Liang X., Kankare V., Hyyppa J., Wang Y., Kukko A., Haggre'n H., et al. Terrestrial laser scanning in forest inventories. Isprs Journal of Photogrammetry&Remote Sensing. 2016; 115:63-77 p. DOI: 10.1016/j.isprsjprs.2016.01.006

  7. Liang X., Kukko A., Kaartinen H., Hyyppa J., Yu X., Jaakkola A., et al. Possibilities of a personal laser scanning system for forest mapping and ecosystem services. Sensors. 2014, 14(1):1228-1248 p. DOI: 10.3390/s140101228 PMID: 24434879

  8. Ordinance No18 for the inventory and planning of forest areas, SG �82/23.10.2015.

  9. https://greenvalleyintl.com/software/lidar360/

  10. https://google-cartographer.readthedocs.io/en/latest/

  11. https://ouster.com/blog/building-maps-using-google-cartographer-and-the-os1- lidar-sensor/

  12. https://www.3dforest.eu/

  13. http://gis.tuzvo.sk/dendrocloud/

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list