@article{fdi:010076611,
  title = {{G}lobe-{LFMC}, a global plant water status database for vegetation ecophysiology and wildfire applications [{D}ata {P}aper]},
  author = {{Y}ebra, {M}. and {S}cortechini, {G}. and {B}adi, {A}. and {B}eget, {M}. {E}. and {B}oer, {M}. {M}. and {B}radstock, {R}. and {C}huvieco, {E}. and {D}anson, {F}. {M}. and {D}ennison, {P}. and de {D}ios, {V}. {R}. and {D}i {B}ella, {C}. {M}. and {F}orsyth, {G}. and {F}rost, {P}. and {G}arcia, {M}. and {H}amdi, {A}. and {H}e, {B}. {B}. and {J}olly, {M}. and {K}raaij, {T}. and {M}artin, {M}. {P}. and {M}ouillot, {F}lorent and {N}ewnham, {G}. and {N}olan, {R}. {H}. and {P}ellizzaro, {G}. and {Q}i, {Y}. and {Q}uan, {X}. {W}. and {R}iano, {D}. and {R}oberts, {D}. and {S}ow, {M}. and {U}stin, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{G}lobe-{LFMC} is an extensive global database of live fuel moisture content ({LFMC}) measured from 1,383 sampling sites in 11 countries: {A}rgentina, {A}ustralia, {C}hina, {F}rance, {I}taly, {S}enegal, {S}pain, {S}outh {A}frica, {T}unisia, {U}nited {K}ingdom and the {U}nited {S}tates of {A}merica. {T}he database contains 161,717 individual records based on in situ destructive samples used to measure {LFMC}, representing the amount of water in plant leaves per unit of dry matter. {T}he primary goal of the database is to calibrate and validate remote sensing algorithms used to predict {LFMC}. {H}owever, this database is also relevant for the calibration and validation of dynamic global vegetation models, eco-physiological models of plant water stress as well as understanding the physiological drivers of spatiotemporal variation in {LFMC} at local, regional and global scales. {G}lobe-{LFMC} should be useful for studying {LFMC} trends in response to environmental change and {LFMC} influence on wildfire occurrence, wildfire behavior, and overall vegetation health.},
  keywords = {{ARGENTINE} ; {AUSTRALIE} ; {CHINE} ; {FRANCE} ; {ITALIE} ; {SENEGAL} ; {ESPAGNE} ; {AFRIQUE} {DU} {SUD} ; {TUNISIE} ; {ROYAUME} {UNI} ; {ETATS} {UNIS}},
  booktitle = {},
  journal = {{S}cientific {D}ata},
  volume = {6},
  numero = {},
  pages = {art. 155 [8 p.]},
  year = {2019},
  DOI = {10.1038/s41597-019-0164-9},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076611},
}