In this paper we present a study on the estimation of the aboveground biomass in tropical forests at single tree level using airborne laser scanning (ALS) data. Individual tree crowns (ITCs) are firstly detected using a method based on an adaptive window that change its size according to tree height. The diameter at breast height (DBH) and the aboveground biomass (AGB) of each ITC then are predicted using standard allometric models. Lastly, the AGB values are aggregated at plot level, and compared with field measured values. The results show that it is possible to accurately predict the aboveground biomass of tropical forests at single tree level using ALS data
Dalponte, M.; Jucker, T.; Burslem, D.F.R.P.; Lewis, S.L.; Nilus, R.; Phillips, O.; Qie, L.; Coomes, D.A. (2016). Aboveground biomass estimation in tropical forests at single tree level with ALS data. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 10-15 July 2016. (IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS): 5334-5337. ISBN: 9781509033324. doi: 10.1109/IGARSS.2016.7730390 handle: http://hdl.handle.net/10449/36330
Aboveground biomass estimation in tropical forests at single tree level with ALS data
Dalponte, Michele;
2016-01-01
Abstract
In this paper we present a study on the estimation of the aboveground biomass in tropical forests at single tree level using airborne laser scanning (ALS) data. Individual tree crowns (ITCs) are firstly detected using a method based on an adaptive window that change its size according to tree height. The diameter at breast height (DBH) and the aboveground biomass (AGB) of each ITC then are predicted using standard allometric models. Lastly, the AGB values are aggregated at plot level, and compared with field measured values. The results show that it is possible to accurately predict the aboveground biomass of tropical forests at single tree level using ALS data
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