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Kinglake ranges.

An early exploration of the use of the Microsoft Azure Kinect for estimation of urban tree Diameter at Breast Height

TitleAn early exploration of the use of the Microsoft Azure Kinect for estimation of urban tree Diameter at Breast Height
Publication TypeJournal Article
Year of Publication2020
AuthorsMcGlade, J, Wallace, L, Hally, B, White, A, Reinke, K, Jones, S
JournalRemote Sensing Letters
Volume11
Issue11
Pagination963-972
Date Published09/2020
KeywordsDBH, remote sensing, trees
Abstract
Forest and urban tree inventory measurements are increasingly adopting Remote Sensing (RS) techniques due to the accurate and rapid estimates available compared to conventional methods. The focus of this study is to assess the accuracy and potential application of the Microsoft Azure Kinect – a lightweight depth sensor – for outdoor measurement of tree stem Diameter at Breast Height (DBH). Individual urban trees (n = 51) were recorded from one viewing angle at a distance of 1 m to 5 m away using the various Field of View (FOV) settings on the depth sensor, from which resultant point clouds provided DBH estimates using a circle-fitting approach. The optimal capture method was observed at a distance of 2 m using the binned Near Field of View (NFOV) setting. Root Mean Square Error (RMSE) of DBH using this method was 8.43 cm; however, after removing trees with irregular or non-circular stems, this improved to 3.53 cm. Variations in ambient light were observed to have little effect on DBH estimates. The results of this study suggest when in an outdoor environment, the Azure Kinect should be used at a distance no greater than 3 m away, using the binned NFOV sensor setting, for DBH estimates.
URLhttps://www.tandfonline.com/doi/abs/10.1080/2150704X.2020.1802528
DOI10.1080/2150704X.2020.1802528
Refereed DesignationRefereed

Published Works

Key Topics

modelling
remote sensing
resilience

Project Reference

Fire surveillance and hazard mapping

Publication Type

Journal Article

Journal Article

Publication Year

Year of Publication 2020