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

被引：16

作者：

Čerňava J. ^{[1
]}

Tuček J. ^{[1
]}

Koreň M. ^{[1
]}

Mokroš M. ^{[1
]}

机构：

[1] Department of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, Zvolen

来源：

Journal of Forest Science | 2017年 / 63卷 / 09期

关键词：

Circle fit; Clustering; Mobile mapping system; Point cloud;

D O I：

10.17221/28/2017-JFS

中图分类号：

学科分类号：

摘要：

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.

引用

页码：433 / 441

页数：8

共 20 条

[1]

LAS Specification, (2008)

[2]

Boavida J., Oliveira A., Santos B., Precise tunnel survey using the RIEGL VMX-250 mobile laser scanning system, RIEGL Lidar 2012, pp. 1-13, (2012)

[3]

Cernava J., Zist'ovanie dendrometrických veličín pomocou údajov z mobilného mapovacieho systému, Acta Facultatis Forestalis Zvolen, 57, pp. 161-171, (2015)

[4]

Forsman M., Holmgren J., Olofsson K., Tree stem diameter estimation from mobile laser scanning using line-wise intensity-based clustering, Forests, 7, (2016)

[5]

Gillet J., Scherzinger B.M., Lithopoulos E., Inertial/GPS system for seismic survey, Proceedings of Society of Exploration Geophysicists, pp. 1-9, (2000)

[6]

Holopainen M., Vastaranta M., Hyyppa J., Outlook for the next generation's precision forestry in Finland, Forests, 5, pp. 1682-1694, (2014)

[7]

Holopainen M., Kankare V., Vastaranta M., Liang X., Lin Y., Vaajac M., Yu X., Hyyppa J., Hyyppa H., Kaartinen H., Kukko A., Tanhuanpaaa T., Alho P., Tree mapping using airborne, terrestrial and mobile laser scanning - A case study in a heterogeneous urban forest, Urban Forestry & Urban Greening, 12, pp. 546-553, (2013)

[8]

Kelbe D., Van Ardt J., Romanczyk P., Van Leeuwen M., Cawse-Nicholson K., Single-scan stem reconstruction using low-resolution terrestrial laser scanner data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, pp. 3414-3427, (2015)

[9]

Liang X., Hyyppa J., Kukko A., Kaartinen H., Jaakkola A., Yu X., The use of a mobile laser scanning system for mapping large forest plots, IEEE Geoscience and Remote Sensing Letters, 11, pp. 1504-1508, (2014)

[10]

Liang X., Kankare V., Hyyppa J., Wang Y., Kukko A., Haggren H., Yu X., Kaartinen H., Jaakkola A., Guan F., Holopainen N., Vastaranta M., Terrestrial laser scanning in forest inventories, ISPRS Journal of Photogrammetry and Remote Sensing, 115, pp. 63-77, (2016)

← 1 2 →