@article{fdi:010070826,
  title = {{A}ssimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass},
  author = {{J}oetzjer, {E}. and {P}illet, {M}. and {C}iais, {P}. and {B}arbier, {N}icolas and {C}have, {J}. and {S}chlund, {M}. and {M}aignan, {F}. and {B}arichivich, {J}. and {L}uyssaert, {S}. and {H}erault, {B}. and von {P}oncet, {F}. and {P}oulter, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{D}espite advances in {E}arth observation and modeling, estimating tropical biomass remains a challenge. {R}ecent work suggests that integrating satellite measurements of canopy height within ecosystem models is a promising approach to infer biomass. {W}e tested the feasibility of this approach to retrieve aboveground biomass ({AGB}) at three tropical forest sites by assimilating remotely sensed canopy height derived from a texture analysis algorithm applied to the high-resolution {P}leiades imager in the {O}rganizing {C}arbon and {H}ydrology in {D}ynamic {E}cosystems {C}anopy ({ORCHIDEE}-{CAN}) ecosystem model. {W}hile mean {AGB} could be estimated within 10% of {AGB} derived from census data in average across sites, canopy height derived from {P}leiades product was spatially too smooth, thus unable to accurately resolve large height (and biomass) variations within the site considered. {T}he error budget was evaluated in details, and systematic errors related to the {ORCHIDEE}-{CAN} structure contribute as a secondary source of error and could be overcome by using improved allometric equations.},
  keywords = {{GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{G}eophysical {R}esearch {L}etters},
  volume = {44},
  numero = {13},
  pages = {6823--6832},
  ISSN = {0094-8276},
  year = {2017},
  DOI = {10.1002/2017gl074150},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070826},
}