Allouis T. auteur aut IRD Durrieu S. auteur aut IRD Vega C. auteur aut IRD Couteron Pierre auteur aut IRD text journalArticle eng text/pdf born digital access The diameter at breast height (DBH) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. However, DBH can not be measured from airborne or spaceborne light detection and ranging (LiDAR) data. Consequently, volume and biomass must be estimated from LiDAR data using other tree metrics. The objective of this paper is to examine whether full-waveform (FW) LiDAR data can improve volume and biomass estimation of individual pine trees, when compared to usual discrete-return LiDAR data. Sets of metrics are derived from canopy height model (CHM-only metrics), from the vertical distribution of discrete-returns (CHM+DR metrics), and from full-waveform LiDAR data (CHM+FW metrics). In each set, the most relevant and non-collinear metrics were selected using a combination of methods using best subset and variance inflation factor, in order to produce predictive models of volume and biomass. CHM-only metrics (tree height and tree bounding volume [tree height x crown area] provided volume and biomass estimates of individual trees with an error (mean error +/- standard deviation) of 2% +/- 26% and -15%+/- 49%, which is equivalent to previous studies. CHM+FW metrics did not improve stem volume estimates (5%+/- 31%), but they increased the accuracy of aboveground biomass estimates (-4%+/- 31%). The approach is limited by the delineation of individual trees. However, the results highlight the potential of full-waveform LiDAR data to improve aboveground biomass estimates through a better integration of branch and leaf biomass than with discrete-return LiDAR data. specialized Algorithm design and analysis forestry geophysical signal processing laser radar predictive models remote monitoring vegetation mapping 082 020 126 6 3 924-934 2013 1939-1404 https://www.documentation.ird.fr/hor/fdi:010058885 10.1109/jstars.2012.2211863 1939-1404 [F B010058885] https://www.documentation.ird.fr/hor/fdi:010058885 https://www.documentation.ird.fr/intranet/publi/depot/2013-10-11/010058885.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2013-07-29 2023-02-22 fdi:010058885 fre