@incollection{fdi:010070174,
  title = {{M}apping of primary soil properties using optical visible and near infrared ({V}is-{NIR}) remote sensing},
  author = {{G}omez, {C}{\'e}cile and {L}agacherie, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}pectral unmixing refers to the process by which the spectrum measured over a mixed target is decomposed into a collection of pure component spectra called endmembers and their fractional abundances. {M}ixed targets are frequently encountered in remote sensing and spectral unmixing techniques have been mostly developed for visible and near-infrared (400–1000 nm) and short-wave infrared (1000–2500 nm) remote sensing. {T}he first unmixing studies were based on the implicit assumption that the spatial distribution of endmembers is random, and therefore, each mixed pixel is spatially independent. {H}ence, only the spectral dimension was taken into account in the unmixing process. {N}evertheless, a spatial autocorrelation exists between pixels, reflecting the tendency of neighboring pixels to present similar characteristics. {C}onsidering these aspects, some developments have been initiated to introduce spatial information in the spectral unmixing process, called the spectral–spatial unmixing technique. {T}his chapter aims to provide a review of these developments to the remote sensing community.},
  keywords = {{TELEDETECTION} {SPATIALE} ; {SOL} ; {ARGILE} ; {CARTOGRAPHIE} {AUTOMATIQUE} ; {CARTE} {PEDOLOGIQUE} ; {ACQUISITION} {DE} {DONNEES} ; {TRAITEMENT} {DE} {DONNEES} ; {MODELE} ; {CALIBRAGE} ; {ESTIMATION} ; {ANALYSE} {SPECTRALE} ; {REFLECTANCE} ; {METHODOLOGIE} ; {MANUEL} ; {SPECTROMETRIE} {INFRAROUGE} ; {TELEDETECTION} {OPTIQUE} ; {VIS}-{PIR} ; {VALIDATION}},
  booktitle = {{L}and surface remote sensing in agriculture and forest},
  numero = {},
  pages = {1--35},
  address = {{O}xford ({GBR}) ; {L}ondres},
  publisher = {{E}lsevier ; {ISTE}},
  series = {{R}emote {S}ensing {O}bservations of {C}ontinental {S}urfaces {S}et},
  year = {2016},
  DOI = {10.1016/{B}978-1-78548-103-1.50001-7},
  ISBN = {978-1-78548-103-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070174},
}