4.7 Article

Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping

Journal

REMOTE SENSING
Volume 14, Issue 14, Pages -

Publisher

MDPI
DOI: 10.3390/rs14143344

Keywords

lidar; MLS; SLAM; UAV; ULS; tree form; mensuration

Funding

  1. Scion's Strategic Science Investment Funding (SSIF)
  2. Ministry of Business Innovation and Employment (MBIE)
  3. Forest Growers Levy Trust
  4. MBIE Transforming Tree Phenotyping programme [C04X2101]
  5. New Zealand Ministry of Business, Innovation & Employment (MBIE) [C04X2101] Funding Source: New Zealand Ministry of Business, Innovation & Employment (MBIE)

Ask authors/readers for more resources

Phenotyping has been used in horticultural industries for decades, but it was less accessible for tree breeders until recently when affordable and non-destructive technologies like mobile laser scanners became available. In this study, a high-density mobile laser scanner was used to derive phenotypic measurements from mature Pinus radiata, and the results showed strong agreement with field measurements. The findings suggest that MLS technology holds strong potential for advancing forest phenotyping and tree measurement, even in mature forests.
Phenotyping has been a reality for aiding the selection of optimal crops for specific environments for decades in various horticultural industries. However, until recently, phenotyping was less accessible to tree breeders due to the size of the crop, the length of the rotation and the difficulty in acquiring detailed measurements. With the advent of affordable and non-destructive technologies, such as mobile laser scanners (MLS), phenotyping of mature forests is now becoming practical. Despite the potential of MLS technology, few studies included detailed assessments of its accuracy in mature plantations. In this study, we assessed a novel, high-density MLS operated below canopy for its ability to derive phenotypic measurements from mature Pinus radiata. MLS data were co-registered with above-canopy UAV laser scanner (ULS) data and imported to a pipeline that segments individual trees from the point cloud before extracting tree-level metrics. The metrics studied include tree height, diameter at breast height (DBH), stem volume and whorl characteristics. MLS-derived tree metrics were compared to field measurements and metrics derived from ULS alone. Our pipeline was able to segment individual trees with a success rate of 90.3%. We also observed strong agreement between field measurements and MLS-derived DBH (R-2 = 0.99, RMSE = 5.4%) and stem volume (R-2 = 0.99, RMSE = 10.16%). Additionally, we proposed a new variable height method for deriving DBH to avoid swelling, with an overall accuracy of 52% for identifying the correct method for where to take the diameter measurement. A key finding of this study was that MLS data acquired from below the canopy was able to derive canopy heights with a level of accuracy comparable to a high-end ULS scanner (R-2 = 0.94, RMSE = 3.02%), negating the need for capturing above-canopy data to obtain accurate canopy height models. Overall, the findings of this study demonstrate that even in mature forests, MLS technology holds strong potential for advancing forest phenotyping and tree measurement.

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