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

You, Lei; Tang, Shouzheng; Song, Xinyu; Lei, Yinru; Zang, Hao; Lou, Minghua; Zhuang, Chongyang

doi:10.3390/rs8090717

Cited by 19 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9). Presented accuracies of DBH estimation are much lower compared to the latest results from TLS using a more complex method of data processing and DBH estimation (You et al 2016). …”

Section: Discussionmentioning

confidence: 89%

Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy

Čerňava¹,

Tuček²,

Koreň³

et al. 2017

J. For. Sci.

View full text Add to dashboard Cite

AbstractČerňava J., Tuček J., Koreň M., Mokroš M. (2017): Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy. J. For. Sci., 63: 433-441.Mobile laser scanning (MLS) is time-efficient technology of geospatial data collection that proved its ability to provide accurate measurements in many fields. Mobile innovation of the terrestrial laser scanning has a potential to collect forest inventory data on a tree level from large plots in a short time. Valuable data, collected using mobile mapping system (MMS), becomes very difficult to process when Global Navigation Satellite System (GNSS) outages become too long. A heavy forest canopy blocking the GNSS signal and limited accessibility can make mobile mapping very difficult. This paper presents processing of data collected by MMS under a heavy forest canopy. DBH was estimated from MLS point cloud using three different methods. Root mean squared error varied between 2.65 and 5.57 cm. Our research resulted in verification of the influence of MLS coverage of tree stem on the accuracy of DBH data.

show abstract

“…9). Presented accuracies of DBH estimation are much lower compared to the latest results from TLS using a more complex method of data processing and DBH estimation (You et al 2016). …”

Section: Discussionmentioning

confidence: 89%

Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy

Čerňava¹,

Tuček²,

Koreň³

et al. 2017

J. For. Sci.

View full text Add to dashboard Cite

show abstract

“…The distance between planes of 10 cm was selected to ensure that 100 points are included in the cross-section, and that the frustum of the stem had virtually no taper (we assumed a constant diameter for any 10 cm along the stem under the canopy). Other studies used smaller distances between the planes (i.e., 5 cm by Maas et al [46] or 1 cm by You et al [16]), but they were focused on the lower portion of the stem (≤4 m) where enough points existed for constructing the cross-section of the stem. This study focused on the merchantable portion of the stem (i.e., below canopy), which considered larger heights where fewer points exist; therefore, a larger distance was used.…”

Section: Photorammetric Point Cloud Generation and Diameter Measurementsmentioning

confidence: 99%

“…The diameters were measured in two ways: one mirroring the field procedures for taper estimation from the ground (i.e., side view of the stem), and one mirroring the approach of You et al [16] (i.e., top view or circumference-based). The side measurement was acquired by averaging four diameters obtained by rotating the stem by approximately 90 • .…”

Section: Photorammetric Point Cloud Generation and Diameter Measurementsmentioning

confidence: 99%

Stem Measurements and Taper Modeling Using Photogrammetric Point Clouds

Fang

Strîmbu

2017

Remote Sensing

View full text Add to dashboard Cite

Abstract:The estimation of tree biomass and the products that can be obtained from a tree stem have focused forest research for more than two centuries. Traditionally, measurements of the entire tree bole were expensive or inaccurate, even when sophisticated remote sensing techniques were used. We propose a fast and accurate procedure for measuring diameters along the merchantable portion of the stem at any given height. The procedure uses unreferenced photos captured with a consumer grade camera. A photogrammetric point cloud (PPC) is produced from the acquired images using structure from motion, which is a computer vision range imaging technique. A set of 18 loblolly pines (Pinus taeda Lindl.) from east Louisiana, USA, were photographed, subsequently cut, and the diameter measured every meter. The same diameters were measured on the point cloud with AutoCAD Civil3D. The ground point cloud reconstruction provided useful information for at most 13 m along the stem. The PPC measurements are biased, overestimating real diameters by 17.

show abstract

“…Lower segments feature more complex stem shapes, especially when the root systems are partially exposed. Figures 11 and 12 show that the biases of estimated diameter and location at the height of 0.65 m are usually larger than, for example, 1 m-2 m. Advanced curve fitting strategy should be developed for future studies, such as [27,56], to resolve such issues. Figures 11 and 12 also indicate that the results' accuracy drops along with the height starting from approximately 6 m above the ground.…”

Section: Error Analysismentioning

confidence: 99%

Automatic and Self-Adaptive Stem Reconstruction in Landslide-Affected Forests

et al. 2016

View full text Add to dashboard Cite

Abstract:Terrestrial laser scanning (TLS) is a promising technique for plot-wise acquisition of geometric attributes of forests. However, there still exists a need for TLS applications in mountain forests where tree stems' growing directions are not vertical. This paper presents a novel method to model tree stems precisely in an alpine landslide-affected forest using TLS. Tree stems are automatically detected by a two-layer projection method. Stems are modeled by fitting a series of cylinders based on a 2D-3D random sample consensus (RANSAC)-based approach. Diameter at breast height (DBH) was manually measured in the field, and stem curves were measured from the point cloud as reference data. The results showed that all trees in the test area can be detected. The root mean square error (RMSE) of estimated DBH was 1.80 cm (5.5%). Stem curves were automatically generated and compared with reference data, as well as stem volumes. The results imply that the proposed method is able to map and model the stem curve precisely in complex forest conditions. The resulting stem parameters can be employed in single tree biomass estimation, tree growth quantification and other forest-related studies.

show abstract

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

Cited by 19 publications

References 26 publications

Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy

Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy

Stem Measurements and Taper Modeling Using Photogrammetric Point Clouds

Automatic and Self-Adaptive Stem Reconstruction in Landslide-Affected Forests

Contact Info

Product

Resources

About