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

Journal of Forest Science

Volumn 63, Issue 9, 2017, Pages 433-441

  Čerňava, Juraj ^a   Tuček, Ján ^a   Koreň, Milan ^a   Mokroš, Martin ^a  

^a TECHNICAL UNIVERSITY IN ZVOLEN   (Slovakia)

Author keywords

Circle fit; Clustering; Mobile mapping system; Point cloud

Indexed keywords

DATA ACQUISITION; DATA HANDLING; GLOBAL POSITIONING SYSTEM; LASER APPLICATIONS; MAPPING; MEAN SQUARE ERROR; SCANNING; SURFACE ANALYSIS;

CIRCLE FIT; CLUSTERING; DIAMETER-AT-BREAST HEIGHTS; GLOBAL NAVIGATION SATELLITE SYSTEMS; MOBILE MAPPING SYSTEMS; POINT CLOUD; ROOT MEAN SQUARED ERRORS; TERRESTRIAL LASER SCANNING;

FORESTRY;

ACCESSIBILITY; ACCURACY ASSESSMENT; CANOPY ARCHITECTURE; FOREST CANOPY; FOREST INVENTORY; GNSS; INNOVATION; LASER METHOD; MAPPING METHOD;

DATA PROCESSING; FOREST CANOPY; FORESTS; HEIGHT; SCANNING;

EID: 85029909546     PISSN: 12124834     EISSN: 1805935X     Source Type: Journal    
DOI: 10.17221/28/2017-JFS     Document Type: Article

References (20)

1. American Society for Photogrammetry and Remote Sensing Board (2008): LAS specification. Version 1.2. Available at http://www.asprs.org/wp-content/uploads/2010/12/asprs-las-format-v12.pdf
2. Boavida J., Oliveira A., Santos B. (2012): Precise tunnel survey using the RIEGL VMX-250 mobile laser scanning system. In: Licari S. (ed.): RIEGL Lidar 2012, Orlando, Feb. 27-Mar. 1, 2012:1-13.
3. Čerňava J. (2015): Zist'ovanie dendrometrických veličín pomocou údajov z mobilného mapovacieho systému. Acta Facultatis Forestalis Zvolen, 57:161-171.
4. Forsman M., Holmgren J., Olofsson K. (2016): Tree stem diameter estimation from mobile laser scanning using line-wise intensity-based clustering. Forests, 7:206.
5. Gillet J., Scherzinger B. M., Lithopoulos E. (2000): Inertial/GPS system for seismic survey. In: Liner L. C. (ed.): Proceedings of Society of Exploration Geophysicists, Calgary, June 4-7:1-9.
6. Holopainen M., Vastaranta M., Hyyppä J. (2014): Outlook for the next generation's precision forestry in Finland. Forests, 5:1682-1694.
7. Holopainen M., Kankare V., Vastaranta M., Liang X., Lin Y., Vaajac M., Yu X., Hyyppä J., Hyyppä H., Kaartinen H., Kukko A., Tanhuanpääa T., Alho P. (2013.): Tree mapping using airborne, terrestrial and mobile laser scanning - a case study in a heterogeneous urban forest. Urban Forestry & Urban Greening, 12:546-553.
8. Kelbe D., van Ardt J., Romanczyk P., van Leeuwen M., Cawse-Nicholson K. (2015): Single-scan stem reconstruction using low-resolution terrestrial laser scanner data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8:3414-3427.
9. Liang X., Hyyppä J., Kukko A., Kaartinen H., Jaakkola A., Yu X. (2014): The use of a mobile laser scanning system for mapping large forest plots. IEEE Geoscience and Remote Sensing Letters, 11:1504-1508.
10. Liang X., Kankare V., Hyyppä J., Wang Y., Kukko A., Haggrén H., Yu X., Kaartinen H., Jaakkola A., Guan F., Holopainen N., Vastaranta M. (2016): Terrestrial laser scanning in forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing, 115:63-77.
11. Mandlburger G., Otepka J., Karel W., Wagner W., Pfeifer N. (2009): Orientation and processing of airborne laser scanning data (OPALS) - concept and first results of a comprehensive ALS software. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-3/W8:55-60.
12. Pfeifer N., Mandlburger G., Otepka J., Karel W. (2014): OPALS - a framework for airborne laser scanning data analysis. Computers, Environment and Urban Systems, 45:125-136.
13. Rasinmäki J., Melkas T. (2005): A method for estimating tree composition and volume using harvester data. Scandinavian Journal of Forest Research, 20:85-95.
14. Reutebuch S. E., Carson W. W., Ahmed K. M. (2003): A test of the Applanix POS LS inertial positioning system for the collection of terrestrial coordinates under a heavy forest canopy. In: Haukaas J., O'Shea M. (eds): Precision Forestry. Proceedings of the 2nd International Precision Forestry Symposium, Seattle, June 15-17, 2003:21-28.
15. Rönnholm P., Liang X., Kukko A., Jaakkola A., Hyyppä J. (2016): Quality analysis and correction of mobile backpack laser scanning data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1:41-47.
16. Schnabel R., Wahl R., Klein R. (2007): Efficient RANSAC for point-cloud shape detection. Computer Graphics Forum, 26:214-226.
17. Tang J., Chen Y., Kukko A., Kaartinen H., Jaakkola A., Khoramshahi E., Hakala T., Hyyppä J., Holopainen M., Hyyppä H. (2015): SLAM-aided stem mapping for forest inventory with small-footprint mobile LiDAR. Forests, 6:4588-4606.
18. Wang D., Hollaus M., Puttonen E., Pfeifer N. (2016): Automatic and self-adaptive stem reconstruction in landslide-affected forests. Remote Sensing, 8:974.
19. Wu B., Yu B., Yue W., Shu S., Tan W., Hu C., Huang Y., Wu J., Liu H. (2013): A voxel-based method for automated identification and morphological parameters estimation of individual street trees from mobile laser scanning data. Remote Sensing, 5:584-611.
20. You L., Tang S., Song X., Lei Y., Zang H., Lou M., Zhuang C. (2016): Precise measurement of stem diameter by simulating the path of diameter tape from terrestrial laser scanning data. Remote Sensing, 8:717.