Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data

Adil Enis Arslan; Muhittin İnan; Mehmet Furkan Çelik; Esra Erten

doi:10.33904/ejfe.1174123

EN

Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data

Abstract

Two of the very basic forestry parameters, the Breast Height Diameter (DBH) and Tree Height (TH) are very effective when characterizing forest stands and individual trees. The traditional measurement process of these parameters takes a lot of time and consumes human power. On the other hand, 3D Point Cloud (PC) quickly provides a very detailed view of forestry parameters, because of the development of computer processing power and digital storage in recent years. PC data sources for forestry applications include Airborne LiDAR Systems (ALS), Terrestrial Laser Scanning (TLS) and most recently the Unmanned Air Vehicle (UAV). In this study, the PC datasets from these sources were used to study the feasibility of the DBH and TH values of a d development stage (i.e. DBH > 52 cm in mature stage) oak stand. The DBH and TH estimates are compared with the onsite measurements, which are considered to be fundamental truths, to their performance due to overall error statistics, as well as the cost of calculation and the difficulties in data collection. The results show that the computer data obtained by TLS has the best average square error (0.22 cm for DBH and 0,051 m for TH) compared to other computer data. The size of Pearson correlation between TLS-based and on-site-based measurements has reached 0.97 and 0.99 for DBH, respectively.

Keywords

3D remote sensing, TLS, ALS, UAV, Tree Height, diameter at breast height, forest tree height

Supporting Institution

Scientific Research Projects Coordination of Istanbul Technical University

Project Number

Project 38370

Thanks

The authors would like to thank the Marmara Forestry Research Institute for their assistance in the fieldwork.

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Adil Enis Arslan
0000-0003-2080-0278
Türkiye

Muhittin İnan ^*
0000-0001-8179-9499
Türkiye

Mehmet Furkan Çelik
0000-0001-7948-536X
Türkiye

Esra Erten
0000-0002-4208-7170
Türkiye

Publication Date

December 30, 2022

Submission Date

September 12, 2022

Acceptance Date

September 25, 2022

Published in Issue

Year 2022 Volume: 8 Number: 2

DOI

https://doi.org/10.33904/ejfe.1174123

IZ

https://izlik.org/JA45TN62MR

APA

Arslan, A. E., İnan, M., Çelik, M. F., & Erten, E. (2022). Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data. European Journal of Forest Engineering, 8(2), 46-54. https://doi.org/10.33904/ejfe.1174123

AMA

1.Arslan AE, İnan M, Çelik MF, Erten E. Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data. Eur J Forest Eng. 2022;8(2):46-54. doi:10.33904/ejfe.1174123

Chicago

Arslan, Adil Enis, Muhittin İnan, Mehmet Furkan Çelik, and Esra Erten. 2022. “Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data”. European Journal of Forest Engineering 8 (2): 46-54. https://doi.org/10.33904/ejfe.1174123.

EndNote

Arslan AE, İnan M, Çelik MF, Erten E (December 1, 2022) Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data. European Journal of Forest Engineering 8 2 46–54.

IEEE

[1]A. E. Arslan, M. İnan, M. F. Çelik, and E. Erten, “Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data”, Eur J Forest Eng, vol. 8, no. 2, pp. 46–54, Dec. 2022, doi: 10.33904/ejfe.1174123.

ISNAD

Arslan, Adil Enis - İnan, Muhittin - Çelik, Mehmet Furkan - Erten, Esra. “Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data”. European Journal of Forest Engineering 8/2 (December 1, 2022): 46-54. https://doi.org/10.33904/ejfe.1174123.

JAMA

1.Arslan AE, İnan M, Çelik MF, Erten E. Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data. Eur J Forest Eng. 2022;8:46–54.

MLA

Arslan, Adil Enis, et al. “Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data”. European Journal of Forest Engineering, vol. 8, no. 2, Dec. 2022, pp. 46-54, doi:10.33904/ejfe.1174123.

Vancouver

1.Adil Enis Arslan, Muhittin İnan, Mehmet Furkan Çelik, Esra Erten. Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data. Eur J Forest Eng. 2022 Dec. 1;8(2):46-54. doi:10.33904/ejfe.1174123

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Creative Commons License

The works published in European Journal of Forest Engineering (EJFE) are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.