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3.3. A comparison of helicopter-based VUX-1LR LiDAR with below-canopy UAV photogrammetry and manual measurements

Citation

Krisanski, S and Taskhiri, MS and Turner, P, 3.3. A comparison of helicopter-based VUX-1LR LiDAR with below-canopy UAV photogrammetry and manual measurements, Optimizing remotely acquired, high resolution remotely sensed data for plantation inventory (Final Report: PNC377-1516), Forest & Wood Products Australia, Australia, pp. 145-152. (2018) [Government or Industry Research]


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Abstract

Measurements such as the diameter at breast height (DBH) are useful for estimating the volume of timber in an area of forest and are conventionally measured by hand using a measuring tape or calipers. Remote sensing techniques have great potential to replace the need for manual measurements, allowing rapid, low-cost and accurate assessment of timber stands at large scales. Close-range, Unmanned Aerial Vehicle (UAV) photogrammetry was used to generate a point cloud of the stems from beneath the canopy. In addition to this, a helicopter-mounted Riegl VUX-1LR LIDAR was used to capture a point cloud from above the canopy at 3 altitudes. This study aims to determine which sensing system and flying height provided the best detail in the sub-canopy. To compare the sub-canopy datasets, the measurement of each tree’s DBH was used. The DBH was extracted for 30 trees using data collected at 30m, 60m and 90m altitude by the VUX-1LR LIDAR, as well as from the point cloud created by the sub-canopy UAV. Manual DBH measurements were used as a baseline for comparison and statistical analysis was performed. The greatest correlation of remotely sensed DBH to manually measured DBH came from the below-canopy UAV photogrammetry system, followed by the 60m flying height with the VUX-1LR LIDAR. The 90m flying height did not result in a statistically significant correlation using the methods in this study. Where sub-canopy data is desired, it is recommended to fly at 60m with the VUX-1LR LIDAR in the forest conditions studied. In areas of greater tree density, below-canopy UAV techniques present an interesting solution.

Item Details

Item Type:Government or Industry Research
Keywords:UAV, UAS, Drone, LIDAR, Photogrammetry, below-canopy, sub-canopy
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Decision Support and Group Support Systems
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Forestry not elsewhere classified
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:127225
Year Published:2018
Deposited By:Information and Communication Technology
Deposited On:2018-07-18
Last Modified:2018-10-12
Downloads:0

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