Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar

Yao, Tian; Yang, Xiaoyuan; Zhao, Feng; Wang, Zhuosen; Zhang, Qingling; Jupp, David L.B.; Lovell, Jenny; Culvenor, Darius; Newnham, Glenn; Ni‐Meister, Wenge; Schaaf, Crystal B.; Woodcock, Curtis E.; Wang, Jindi; Li, Xiaowen; Strahler, Alan H.

doi:10.1016/j.rse.2010.03.019

Cited by 164 publications

(113 citation statements)

References 26 publications

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“…1a). Generally, such an approach generates a high number of points and is thus able to describe with a very high accuracy the understory of the forest (Radtke and Bolstad 2001;Loudermilk et al 2007;Yao et al 2011). Because of its high level of detail and accuracy, TLS has the potential to estimate in a standardized and automatic way tree diameters, tree height, tree volume, and thus tree biomass Hosoi et al 2013).…”

Section: Light Detection and Ranging Systemsmentioning

confidence: 99%

An overview of existing and promising technologies for national forest monitoring

Henry

Réjou‐Méchain

Cifuentes-Jara

et al. 2015

Annals of Forest Science

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Section: Light Detection and Ranging Systemsmentioning

confidence: 99%

An overview of existing and promising technologies for national forest monitoring

Henry

Réjou‐Méchain

Cifuentes-Jara

et al. 2015

Annals of Forest Science

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“…The use of TLS for the acquisition of specific biophysical tree parameters has been investigated in several studies, including estimation on diameter at breast height (stem diameter at 1.3 m above ground level; DBH) and tree stem volume [10][11][12][13][14][15]. A full or partial reconstruction of individual trees has also been investigated [5,[16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…Direct estimation of single tree biomass from TLS data has been described in [6,8]. Others have estimated biomass from TLS data through tree stem reconstruction [20] or by using related TLS-estimates with existing allometric models [15,21].…”

Section: Introductionmentioning

confidence: 99%

Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner

et al. 2017

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Airborne laser scanning is now widely used for forest inventories. An essential part of inventory is a collection of field reference data including measurements of tree stem diameter at breast height (DBH). Traditionally this is acquired through manual measurements. The recent development of terrestrial laser scanning (TLS) systems in terms of capacity and weight have made these systems attractive tools for extracting DBH. Multiple TLS scans are often merged into a single point cloud before the information extraction. This technique requires good position and orientation accuracy for each scan location. In this study, we propose a novel method that can operate under a relatively coarse positioning and orientation solution. The method divides the laser measurements into limited time intervals determined by the laser scan rotation. Tree positions and DBH are then automatically extracted from each laser scan rotation. To improve tree identification, the estimated center points are subsequently processed by an iterative closest point algorithm. In a small reference data set from a single field plot consisting of 18 trees, it was found that 14 were automatically identified by this method. The estimated DBH had a mean differences of 0.9 cm and a root mean squared error of 1.5 cm. The proposed method enables fast and efficient data acquisition and a 250 m 2 field plot was measured within 30 s.

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“…Compared with airborne laser scanning and field measurements, TLS can obtain accurate understory information, including a digital record of the three-dimensional structure of forests [3]. Many studies have demonstrated the high potential of TLS in forest inventory, including tree locations [1,[4][5][6], heights [2,3,7], diameters [2,3,6,[8][9][10][11][12][13][14][15], volumes [16][17][18], biomass [17,[19][20][21][22][23] and others forestry parameters [24][25][26][27]. In addition, the influence of scanner parameters on forestry parameter derivation has been studied [18,28].…”

Section: Introductionmentioning

confidence: 99%

Precise Measurement of Stem Diameter by Simulating the Path of Diameter Tape from Terrestrial Laser Scanning Data

et al. 2016

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Accurate measurement of stem diameter is essential to forest inventory. As a millimeter-level measuring tool, terrestrial laser scanning (TLS) has not yet reached millimeter-level accuracy in stem diameter measurements. The objective of this study is to develop an accurate method for deriving the stem diameter from TLS data. The methodology of stem diameter measurement by diameter tape was adopted. The stem cross-section at a given height along the stem was determined. Stem points for stem diameter retrieval were extracted according to the stem cross-section. Convex hull points of the extracted stem points were calculated in a projection plane. Then, a closed smooth curve was interpolated onto the convex hull points to simulate the path of the diameter tape, and stem diameter was calculated based on the length of the simulated path. The stems of different tree species with different properties were selected to verify the presented method. Compared with the field-measured diameter, the RMSE of the method was 0.0909 cm, which satisfies the accuracy requirement for forest inventory. This study provided a method for determining the stem cross-section and an efficient and precise curve fitting method for deriving stem diameter from TLS data. The importance of the stem cross-section and convex hull points in stem diameter retrieval was demonstrated.

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Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar

Cited by 164 publications

References 26 publications

An overview of existing and promising technologies for national forest monitoring

An overview of existing and promising technologies for national forest monitoring

Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner

Precise Measurement of Stem Diameter by Simulating the Path of Diameter Tape from Terrestrial Laser Scanning Data

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