@article{fdi:010085230,
  title = {{E}stimating forest above-ground biomass with terrestrial laser scanning : current status and future directions},
  author = {{D}emol, {M}. and {V}erbeeck, {H}. and {G}ielen, {B}. and {A}rmston, {J}. and {B}urt, {A}. and {D}isney, {M}. and {D}uncanson, {L}. and {H}ackenberg, {J}. and {K}ukenbrink, {D}. and {L}au, {A}. and {P}loton, {P}ierre and {S}ewdien, {A}. and {S}tovall, {A}. and {T}akoudjou, {S}. {M}. and {V}olkova, {L}. and {W}eston, {C}. and {W}ortel, {V}. and {C}alders, {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}mproving the global monitoring of above-ground biomass ({AGB}) is crucial for forest management to be effective in climate mitigation. {I}n the last decade, methods have been developed for estimating {AGB} from terrestrial laser scanning ({TLS}) data. {TLS}-derived {AGB} estimates can address current uncertainties in allometric and {E}arth observation ({EO}) methods that quantify {AGB}. {W}e assembled a global dataset of {TLS} scanned and consecutively destructively measured trees from a variety of forest conditions and reconstruction pipelines. {T}he dataset comprised 391 trees from 111 species with stem diameter ranging 8.5 to 180.3 cm and {AGB} ranging 13.5-43,950 kg. {TLS}-derived {AGB} closely agreed with destructive values (bias <1%, concordance correlation coefficient of 98%). {H}owever, we identified below-average performances for smaller trees (<1,000 kg) and conifers. {I}n every individual study, {TLS} estimates of {AGB} were less biased and more accurate than those from allometric scaling models ({ASM}s), especially for larger trees (>1,000 kg). {M}ore effort should go to further understanding and constraining several {TLS} error sources. {W}e currently lack an objective method of evaluating point cloud quality for tree volume reconstruction, hindering the development of reconstruction algorithms and presenting a bottleneck for tracking down the error sources identified in our synthesis. {S}ince quantifying {AGB} with {TLS} requires only a fraction of the efforts as compared to destructive harvesting, {TLS}-calibrated {ASM}s can become a powerful tool in {AGB} upscaling. {TLS} will be critical for calibrating/validating scheduled and launched remote sensing initiatives aiming at global {AGB} mapping.},
  keywords = {3{D} reconstruction ; above-ground biomass ; allometric scaling models ; carbon ; quantitative {S}tructure {M}odelling ; {REDD} plus ; terrestrial laser ; scanning},
  booktitle = {},
  journal = {{M}ethods in {E}cology and {E}volution},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[12 p.]},
  ISSN = {2041-210{X}},
  year = {2022},
  DOI = {10.1111/2041-210x.13906},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085230},
}