ESTIMATING SINGLE TREE STEM AND BRANCH BIOMASS USING TERRESTRIAL LASER SCANNING
DOI:
https://doi.org/10.11113/jt.v77.6860Keywords:
Terrestrial laser scanner, stem and branch biomassAbstract
This paper presents a novel non-destructive approach for individual tree stem and branch biomass estimation using terrestrial laser scanning data. The study area is located at the Royal Belum Reserved Forest area, Gerik, Perak. Each forest plot was designed with a circular shape and contains several scanning locations to ensure good visibility of each tree. Unique tree signage was located on trees with diameter at breast height (DBH) of 10cm and above. Â Extractions of individual trees were done manually and the matching process with the field collected tree properties were relied on the tree signage and tree location as collected by total station. Individual tree stems were reconstructed based on cylinder models from which the total stem volume was calculated. Biomass of individual tree stems was calculated by multiplying stem volume with specific wood density. Biomass of individual was estimated using similar concept of tree stem with the volume estimated from alpha-hull shape. The root mean squared errors (RMSE) of estimated biomass are 50.22kg and 27.20kg for stem and branch respectively.Â
References
Kato, A., et al. 2009. Capturing tree crown formation through implicit surface reconstruction using airborne lidar data. Remote Sensing of Environment. 113(6): 1148-1162.
K. H, B. and D. D. L. 2008. A Mehod for Automated Registration of Unorganised Point Clouds.
Shlyakhter, L., et al. 2001. Reconstruction 3D Tree Models from Instrumented Photograph.
Kankare, V., et al. 2013. Individual tree biomass estimation using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 75: 64-75.
Holopainen, M., et al., 2013. Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest. Urban Forestry & Urban Greening. 12(4): 546-553.
Seidel, D., et al. 2011. 3D-laser scanning: A non-destructive method for studying above- ground biomass and growth of juvenile trees. Agricultural and Forest Meteorology. 151(10): 1305-1311.
Reunomen, P., et al. 2011. Approximation of Volume and Branch Size Distribution of Trees from Laser Scanner Data.
Raumonen, P., et al. 2013. Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data. Remote Sensing. 5(2): 491-520.
Verma, N.K., et al. 2014. An allometric model for estimating DBH of isolated and clustered Eucalyptus trees from measurements of crown projection area. Forest Ecology and Management. 326: 125-132.
Hu, B., et al., 2014. Improving the efficiency and accuracy of individual tree crown delineation from high-density LiDAR data. International Journal of Applied Earth Observation and Geoinformation. 26: 145-155.
Pfeifer, N., B. Gorte, and D. Winterhalder. 2004. Automatic Reconstruction of Single Trees from Terrestrial Laser Scanner Data.
Maas, H. G., et al. 2008. Automatic Forest Inventory Parameter Determination from Terrestrial Laser Scanner Data.
Rutzinger, M., et al. 2010. Detection and Modelling of 3D Trees from Mobile Laser Scanning Data.
Seidel, D., et al. 2011. 3D-laser scanning: A Non-destructive Method for Studying Above-ground Biomass and Growth of Juvenile Trees.
Houghton, R.A. 2005. Aboveground forest biomass and the global carbon balance.
Feliciano, E.A., S. Wdowinski, and M.D. Potts. 2014. Assessing Mangrove Above-Ground Biomass and Structure using Terrestrial Laser Scanning: A Case Study in the Everglades National Park. Wetlands. 34(5): 955-968.
[Ravindranath, N.H. and M. Ostwald. 2008. Methods For Estimating Above-Ground Biomass.
Park, H., et al. 2010. Voxel-based Volume Modelling of Individual Trees Using Terrestrial Laser Scanners.
Jiaying, W., K. 2013. Cawse-Nicholson, and J.v. Aardt, 3D Tree Reconstruction from Simulated Small Footprint Waveform LiDAR.
Hauglin, M., et al., 2014. Estimating Single-Tree Crown Biomass of Norway Spruce by Airborne Laser Scanning: A Comparison of Methods with and without the Use of Terrestrial Laser Scanning to Obtain the Ground Reference Data. Forests. 5(3): 384-403.
Malaysian Nature Society. 2006.Belum-Temenggor.
Wikipedia. 2015. Belum-Temengor. 22/5/2015].
Elliott, G.K. 1970. Wood density in conifers.
Korhonen, L., et al., 2013. Estimation of tree crown volume from airborne lidar data using computational geometry. International Journal of Remote Sensing. 34(20): 7236-7248.
Rahman, M. Z. A., et al. 2012. A generic approach in estimating vegetation density for hydrodynamic roughness parameterization using high density airborne laser scanning data. Journal of Hydroinformatics. 15(2): 446.
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