Sensitivity of Above-Ground Biomass to Terrestrial LIDAR-Derived Tree Height in Berkelah Tropical Rainforest, Malaysia
Tree height can be derived from airborne and terrestrial LIDAR in a nondestructive way. This study aims to analyze and investigate whether above-ground biomass (AGB) is sensitive or not to tree height derived from terrestrial LIDAR point cloud data in Berkelah tropical rainforest, Malaysia. To select the unit of analysis, a non-probability sampling of which purposive sampling approach was adopted. Accordingly, 32 sample plots were measured and scanned during the field data collection. Upper and lower canopy trees height was derived from airborne and terrestrial LIDAR, respectively. Moreover, terrestrial LIDAR was used to derive DBH of all upper and lower canopy trees. DBH measured in the field was used to validate the DBH manually derived from terrestrial laser scanner (TLS) point cloud data. To calculate AGB of both lower and upper canopy trees, the DBH derived from TLS point cloud data was used. The coefficient of determination R2 and RMSE of the DBH manually derived from TLS point cloud data validated by field measured DBH were 0.99 and 1.37 cm, respectively. This result revealed the existence of almost one to one relationship and based on the statistical test undertaken; there is no statistically significant difference between the two DBH measurements. Moreover, for sensitivity of AGB, when TLS tree height was validated by corresponding trees height from airborne LIDAR, 0.72 and 2.42 m were found for R2 and RMSE, respectively. Based on the findings, AGB is not sensitive to tree height derived from terrestrial LIDAR point cloud data.
KeywordsAGB DBH LIDAR Point cloud data Sensitivity
This study was conducted for my master thesis in the field of Geo-information Science and Earth Observation with Natural Resources Management specialization at the University of Twente in the Netherlands. I am very grateful to the Faculty of Geo-Information and Earth Observation Science (ITC), University of Twente, and Netherland Fellowship Program (NFP) who provided me the opportunity to pursue M.Sc. degree and granted scholarship for my study. I am also very grateful to the University of Gondar, Ethiopia, for permitting me to study in the Netherlands. I would like to express my deepest and heartfelt gratitude to my supervisors Dr. Yousif A. Hussin and Ir. L. M. Van Leeuwen from ITC, University of Twente, the Netherlands, for their wholehearted guidance and input to the success of the study. My deepest gratitude also goes to Dr. Zulkiflee Abd Latif from Malaysia for his facilitation during field data collection. I would like to acknowledge University Technology Mara, Malaysia (UiTM), for providing the airborne LIDAR data set of the study area. Last but not least, I thank the editor and two anonymous reviewers for their comments and suggestions which have improved the manuscript.
This study was funded by the Netherlands Fellowship Program (NFP).
Compliance with Ethical Standards
Ethics Approval and Consent to Participate
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Availability of Data and Material
All datasets used to support the findings of this manuscript are fully available from the author upon request.
Conflict of interest
The author has not declared any conflict of interests.
- Barizan, R., Sulaiman, R., & Sciences, M. (1997). Studies on the early establishment of dipterocarp. Seedlings in a malaysian logged hill FOrest. PhD Thesis. University of Stirling, Department of Biological and Molecular Sciences.Google Scholar
- Bazezew, M. N. (2017). Integrating airborne lidar and terrestrial laser scanner forest parameters for accurate estimation of above-ground biomass/carbon in Ayer Hitam tropical forest reserve, Malaysia. M.Sc. thesis, University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands. Retrieved from http://www.itc.nl/library/papers_2017/msc/nrm/bazezew.pdf.
- Bazezew, M. N., Hussin, Y. A., & Kloosterman, E. H. (2018). Integrating airborne LiDAR and terrestrial laser scanner forest parameters for accurate above-ground biomass/carbon estimation in Ayer Hitam tropical forest, Malaysia. International Journal of Applied Earth Observation and Geoinformation, 73, 638–652. https://doi.org/10.1016/j.jag.2018.07.026.CrossRefGoogle Scholar
- Bienert, A., Scheller, S., Keane, E., Mullooly, G., & Mohan, F. (2006). Application of terrestrial laser scanners for the determination of forest inventory parameters. International Archives of Photogrammetry, Remote Sensing and Spatial Information Science, 36, 5. https://doi.org/10.1111/jam.12647.Google Scholar
- Chave, J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., Fo¨lster, H., Fromard, F., Higuchi, N., Kira, T., Lescure, J-P., Nelson, B. W., Ogawa, H., Puig, H., Riéra, B., Yamakura, T. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145, 87–99. https://doi.org/10.1007/s00442-005-0100-x.CrossRefGoogle Scholar
- Drake, J. B., Dubayah, R. O., Clark, D. B., Knox, R. G., Blair, J. B., Hofton, M. A., et al. (2002). Estimation of tropical forest structural characteristics, using large-footprint lidar. Remote Sensing of Environment, 79(2–3), 305–319. https://doi.org/10.1016/S0034-4257(01)00281-4.CrossRefGoogle Scholar
- Ghebremichael, Z. M. (2016). Airborne LiDAR and terrestrial laser scanner (TLS) in assessing above ground biomass/carbon stock in tropical rainforest of Ayer Hitam forest reserve, Malaysia. M.Sc. thesis, University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands. Retrieved from http://www.itc.nl/library/papers_2016/msc/nrm/ghebremichael.pdf.
- Henning, J. G., & Radtke, P. J. (2006). Detailed stem measurements of standing trees from ground-based scanning lidar. Retrieved from http://www.ingentaconnect.com/content/saf/fs/2006/00000052/00000001/art00007.
- Hongoa, J. R. (2017). Accuracy of tree height derived from point clouds of of UAV compared to airborne LiDAR and its effect on estimating biomass and carbon stock in part of tropical forest in Malaysia. M.Sc. thesis, University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands. Retrieved from https://ezproxy.utwente.nl:2315/library/2017/msc/nrm/hongoa.pdf.
- Ketterings, Q. M., Coe, R., Van Noordwijk, M., Ambagau, Y., & Palm, C. A. (2001). Reducing uncertain in the use of allometric biomass equation for predciting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management, 146, 199–209. https://doi.org/10.1016/S0378-1127(00)00460-6.CrossRefGoogle Scholar
- Lawas, C. J. C. (2016). Complementary use of airborne lidar and terrestrial laser scanner to assess above ground biomass/carbon in Ayer Hitam tropical rain forest reserve. M.Sc. thesis, University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands. Retrieved from http://www.itc.nl/library/papers_2016/msc/nrm/lawas.pdf.
- Lucas, R. M., Lee, A., Armston, J., Breyer, J., et al. (2008). Advances in forest characterisation, mapping and monitoring through integration of LiDAR and other remote sensing datasets. Proceedings, SilviLaser 2008, Edinburgh, UK (CD).Google Scholar
- Prasad, O. P., Hussin, Y. A., Weir, M. J. C., & Karna, Y. K. (2016). Derivation of forest inventory parameters for carbon estimation using terrestrial LiDAR. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41, 677–684. https://doi.org/10.5194/isprsarchives-XLI-B8-677-2016.Google Scholar
- REDD. (2012). REDD + Cookbook, how to measure and monitor forest carbon, 160. Retrieved from http://www.ffpri.affrc.go.jp/redd-rdc/en/reference/cookbook/redd_cookbook_all_high_en.pdf.
- Reyes, G., Brown, S., Chapman, J., & Lugo, A. E. (1992). Wood densities of tropical tree species. Technical report (pp. 1–18).Google Scholar
- Sadadi, O. (2016). Accuracy of measuring tree height using airborne lidar and terrestrial laser scanner and its effect on estimating forest biomass and carbon stock in Ayer Hitam tropical rain forest reserve, Malaysia. M.Sc. thesis, University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands. Retrieved from http://www.itc.nl/library/papers_2016/msc/nrm/ojoatre.pdf.
- Van Leeuwen, M., Hilker, T., Coops, N. C., Frazer, G., Wulder, M. A., Newnham, G. J., et al. (2011). Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review. Forest Ecology and Management, 261(9), 1467–1478. https://doi.org/10.1016/j.foreco.2011.01.032.CrossRefGoogle Scholar
- Yu, X., Hyyppä, J., Hyyppä, H., & Maltamo, M. (2004). Effects of flight altitude on tree height estimation using airborne laser scanning. Laser-scanners for forest and landscape assessment. International Archives of Photogrammetry and Remote Sensing and Spatial Information Sciences, 36(8), 2.Google Scholar
- Zakaria, M. (2013). Avian richness and habitat characteristics in primary and logged hill dipterocarp tropical rainforest of Peninsular Malaysia. Malayan Nature Journal, 65(4), 300–316.Google Scholar
- Zaki, N. A. M., Latif, Z. A., Suratman, M. N., & Zainal, M. Z. (2016). Modelling the carbon stocks estimation of the tropical lowland dipterocarp forest using lidar and remotely sensed data. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III, 7, 187–194. https://doi.org/10.5194/isprsannals-iii-7-187-2016.CrossRefGoogle Scholar