@article{fdi:010090581,
  title = {{L}i{DAR}-based reference aboveground biomass maps for tropical forests of {S}outh {A}sia and {C}entral {A}frica},
  author = {{R}odda, {S}. {R}. and {F}araroda, {R}. and {G}opalakrishnan, {R}. and {J}ha, {N}. and {R}{\'e}jou-{M}{\'e}chain, {M}axime and {C}outeron, {P}ierre and {B}arbier, {N}icolas and {A}lfonso, {A}. and {B}ako, {O}. and {B}assama, {P}. and {B}ehera, {D}. and {B}issiengou, {P}. and {B}iyiha, {H}. and {B}rockelman, {W}. {Y}. and {C}hanthorn, {W}. and {C}hauhan, {P}. and {D}adhwal, {V}. {K}. and {D}auby, {G}illes and {D}eblauwe, {V}. and {D}ongmo, {N}. and {D}roissart, {V}incent and {J}eyakumar, {S}. and {J}ha, {C}. {S}. and {K}andem, {N}. {G}. and {K}atembo, {J}. and {K}ougue, {R}. and {L}eblanc, {H}ugo and {L}ewis, {S}. and {L}ibalah, {M}. and {M}anikandan, {M}. and {M}artin-{D}ucup, {O}. and {M}bock, {G}. and {M}emiaghe, {H}. and {M}ofack, {G}. and {M}utyala, {P}. and {N}arayanan, {A}. and {N}athalang, {A}. and {N}djock, {G}. {O}. and {N}goula, {F}. and {N}idamanuri, {R}. {R}. and {P}{\'e}lissier, {R}apha{\¨e}l and {S}aatchi, {S}. and {S}agang, {L}. and {S}alla, {P}. and {S}imo-{D}roissart, {M}. and {S}mith, {T}. {B}. and {S}onke, {B}. and {S}tevart, {T}. and {T}jomb, {D}. and {Z}ebaze, {D}. and {Z}emagho, {L}. and {P}loton, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{A}ccurate mapping and monitoring of tropical forests aboveground biomass ({AGB}) is crucial to design effective carbon emission reduction strategies and improving our understanding of {E}arth's carbon cycle. {H}owever, existing large-scale maps of tropical forest {AGB} generated through combinations of {E}arth {O}bservation ({EO}) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. {T}o address this, a network of high-quality reference data is needed to calibrate and validate mapping algorithms. {T}his study aims to generate reference {AGB} datasets using field inventory plots and airborne {L}i{DAR} data for eight sites in {C}entral {A}frica and five sites in {S}outh {A}sia, two regions largely underrepresented in global reference {AGB} datasets. {T}he study provides access to these reference {AGB} maps, including uncertainty maps, at 100 m and 40 m spatial resolutions covering a total {L}i{DAR} footprint of 1,11,650 ha [ranging from 150 to 40,000 ha at site level]. {T}hese maps serve as calibration/validation datasets to improve the accuracy and reliability of {AGB} mapping for current and upcoming {EO} missions (viz., {GEDI}, {BIOMASS}, and {NISAR}).},
  keywords = {{AFRIQUE} {CENTRALE} ; {ASIE} {DU} {SUD} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{S}cientific {D}ata - {N}ature},
  volume = {11},
  numero = {1},
  pages = {334 [15 p.]},
  year = {2024},
  DOI = {10.1038/s41597-024-03162-x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090581},
}