@article{fdi:010058885,
  title = {{S}tem volume and above-ground biomass estimation of individual pine trees from {L}i{DAR} data : contribution of full-waveform signals},
  author = {{A}llouis, {T}. and {D}urrieu, {S}. and {V}ega, {C}. and {C}outeron, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he diameter at breast height ({DBH}) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. {H}owever, {DBH} can not be measured from airborne or spaceborne light detection and ranging ({L}i{DAR}) data. {C}onsequently, volume and biomass must be estimated from {L}i{DAR} data using other tree metrics. {T}he objective of this paper is to examine whether full-waveform ({FW}) {L}i{DAR} data can improve volume and biomass estimation of individual pine trees, when compared to usual discrete-return {L}i{DAR} data. {S}ets 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 {L}i{DAR} data ({CHM}+{FW} metrics). {I}n 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%). {T}he approach is limited by the delineation of individual trees. {H}owever, the results highlight the potential of full-waveform {L}i{DAR} data to improve aboveground biomass estimates through a better integration of branch and leaf biomass than with discrete-return {L}i{DAR} data.},
  keywords = {{A}lgorithm design and analysis ; forestry ; geophysical signal processing ; laser radar ; predictive models ; remote monitoring ; vegetation mapping},
  booktitle = {},
  journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing},
  volume = {6},
  numero = {3},
  pages = {924--934},
  ISSN = {1939-1404},
  year = {2013},
  DOI = {10.1109/jstars.2012.2211863},
  URL = {https://www.documentation.ird.fr/hor/fdi:010058885},
}