@incollection{fdi:010067854,
  title = {{W}hat can {G}lobal{S}oil{M}ap expect from {V}is-{NIR} {H}yper{S}pectral {I}magery in the near future ?},
  author = {{L}agacherie, {P}. and {G}omez, {C}{\'e}cile},
  editor = {},
  language = {{ENG}},
  abstract = {{L}egacy soil inputs that are too sparse often limit the performances of {D}igital {S}oil {M}apping performed in {G}lobal{S}oil{M}ap ({GSM}). {I}n this paper, we explore how the maps of predicted soil properties obtained from {V}isible-near infrared {H}yper{S}pectral {I}magery ({HSI}) could be used in {GSM} to complement or substitute for the classical spatial sampling obtained from laboratory analysis. {W}e demonstrated in the {L}a {P}eyne catchment (southern {F}rance) that these maps could be a valuable soil input for upgrading existing soil maps, retrieving correlations with relief variables or building variograms. {W}e then proposed a decision tree for using this new soil input in a variety of data situations that should be encountered in {GSM} applications. {E}xpected progresses in hyperspectral images availability and spectral reflectance interpretation models should enhance the use of this soil input in {GSM}.},
  keywords = {{CARTE} {PEDOLOGIQUE} ; {APTITUDE} {DU} {SOL} ; {AIDE} {A} {LA} {DECISION} ; {IMAGE} {SATELLITE} ; {REFLECTANCE} ; {ANALYSE} {SPATIALE} ; {ANALYSE} {SPECTRALE} ; {FRANCE}},
  booktitle = {{G}lobal{S}oil{M}ap : basis of the global spatial soil information system},
  numero = {},
  pages = {387--392},
  address = {{L}eyde},
  publisher = {{CRC}},
  series = {},
  year = {2014},
  ISBN = {978-1-138-00119-0},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067854},
}