Diameter at Breast Height Calculation in OAK Stand Using UAV Imageryand TLS-based Point Cloud Data

Kaan Baykara, A. Enis Arslan, Esra Erten, Muhittin Inan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In recent years, the efficiency of Terrestrial Laser Scanner (TLS) data for dendrometry has been widely tested and it becomes more widely accepted in small and large scale forests due to its millimeter accuracy. Although TLS products provide high accurate measurements, the high costs of field data collection could be a challenge in some forest stand. Unmanned Aerial Vehicle (UAV) imagery could be an alternative for modeling and monitoring of the dendrometric parameters, specifically on sparse forest. For this purpose, the potential of UAV imagery for diameter at breast height (DBH) estimation, one of the key forest tree parameters, is discussed against TLS based DBH measurements in a Stage D(4) low stem density Oak stand, using point cloud data (PCD)-based ellipse fit. No significant difference was seen between the DBH measurements in regards to the stem diameter. However, the UAVbased DBH measurements had a high variance in the ellipse fit process.

Original languageEnglish
Title of host publicationIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7309-7312
Number of pages4
ISBN (Electronic)9781665427920
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2022-July

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/2222/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

∗This work was supported by the Research Fund of the Istanbul Technical University. Project Number: ITU-BAP-38370

FundersFunder number
Istanbul Teknik ÜniversitesiITU-BAP-38370

    Keywords

    • DBH
    • diameter at breast
    • forestry
    • PCD
    • Point cloud data
    • Terrestrial Laser Scanner
    • TLS
    • UAV
    • Unmanned Aerial Vehicle

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