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Below-canopy UAS photogrammetry for stem measurement in radiata pine plantation

Citation

Krisanski, S and Del Perugia, B and Taskhiri, MS and Turner, P, Below-canopy UAS photogrammetry for stem measurement in radiata pine plantation, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX: Proceedings of SPIE (International Society for Optical Engineering Conference), 10-13 September 2018, Berlin, Germany, pp. 1-11. ISSN 0277-786X (2018) [Refereed Conference Paper]

Copyright Statement

Copyright 2018 SPIE

DOI: doi:10.1117/12.2325480

Abstract

Unmanned Aerial Systems (UAS) are a cost-effective means of collecting forest data conventionally used above the forest canopy. Where forest canopies are dense, limited information about stem structures can be extracted directly due to obscuration by foliage. In these circumstances, complementary ground-based methods including manual measurement and terrestrial laser scanning are deployed, but these techniques are often limited in terms of the scope and scale of data collected by factors including time, field cost and site accessibility. This paper describes the application of a UAS flown below the forest canopy as an efficient and effective approach for stem measurement in areas where the canopy is difficult to penetrate, and as a potential solution to measuring trees in areas of dense undergrowth. The study sites were scanned with a helicopter-mounted VUX-1LR LiDAR sensor and the resulting point clouds were used as a comparison dataset. The measurements extracted from these point-clouds were compared with ground-based measurements of diameter at breast height and relative positions. The below-canopy UAS and the VUX-1LR at 30m had the lowest root-mean-squarederror (RMSE) of 4.1cm, followed by the VUX-1LR at 90m with a RMSE of 4.4cm. The VUX-1LR 60m flight was the most consistent with the highest coefficient of determination, however due to a positive bias, there was an RMSE of 4.5cm. The photogrammetry-based, below-canopy UAS was found to be an efficient and accurate method of extracting DBH and relative position of stems in forests.

Item Details

Item Type:Refereed Conference Paper
Keywords:Unmanned Aerial System, Unmanned Aerial Vehicle, Drone, Photogrammetry, Below-canopy UAV, VUX- 1LR LiDAR, Radiata pine plantation, Forest Inventory
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Softwood Plantations
UTAS Author:Krisanski, S (Mr Sean Krisanski)
UTAS Author:Taskhiri, MS (Dr Mohammad Sadegh Taskhiri)
UTAS Author:Turner, P (Associate Professor Paul Turner)
ID Code:129422
Year Published:2018
Deposited By:Information and Communication Technology
Deposited On:2018-11-29
Last Modified:2019-06-19
Downloads:0

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