@article{fdi:010075212,
  title = {{S}urface soil clay content mapping at large scales using multispectral ({VNIR}-{SWIR}) {ASTER} data},
  author = {{G}asmi, {A}. and {G}omez, {C}{\'e}cile and {L}agacherie, {P}. and {Z}ouari, {H}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he potential of {V}isible {N}ear-{I}nfrared and {S}hort-{W}ave {I}nfrared ({VNIR}-{SWIR}, 400 nm-2500 nm) hyperspectral imagery for use in multivariate approaches and geostatistical techniques for mapping topsoil properties has been previously demonstrated. {H}owever, the use of {VNIR}-{SWIR} hyperspectral imagery remains costly, which limits the spatial scales over which it can be applied. {T}his paper aims to evaluate the potential for substituting the more accessible {A}dvanced {S}paceborne {T}hermal {E}mission and {R}eflection {R}adiometer ({ASTER}) {VNIR}-{SWIR} multispectral data for hyperspectral imagery in mapping surface soil clay contents. {T}his study used {ASTER} multispectral data (nine bands in the {VNIR}-{SWIR} spectral domain) acquired over the {C}ap-{B}on region in {T}unisia (2000 km(2)) and 262 surface soil samples collected within the {ASTER} scene that were subjected to laboratory analysis of the clay fraction (soil particles less than 2 mu m). {T}he approach followed two steps: i) estimation of surface soil clay contents for bare soil areas using a {M}ultiple {L}inear {R}egression ({MLR}) model built from the 9 {ASTER} {VNIR}-{SWIR} bands and ii) spatial interpolation (co-kriging) of the soil sampling of measured points and the {ASTER}-estimates over the whole study area. {T}he {MLR} model for estimating clay contents using {ASTER} multispectral data performed correctly ( = 0.60). {I}n addition, this performance is only slightly lower than that obtained using hyperspectral imagery (specifically, an {A}irborne {I}maging {S}pectrometer for {A}pplications ({AISA}-{DUAL}) dual hyperspectral sensor) in a previous study. {M}oreover, the co-kriging process appeared to yield encouraging results for capturing the large range of variability of clay content values, although it was not able to represent the short scale variability ( = 0.43). {F}inally, the {ASTER} multispectral data, despite being underused in the mapping of soil properties, may open up new ways to perform more extensive mapping of surface soil properties in semi-arid contexts characterized by extensive bare and dry soil surfaces.},
  keywords = {{TUNISIE} ; {CAP} {BON}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {R}emote {S}ensing},
  volume = {40},
  numero = {4},
  pages = {1506--1533},
  ISSN = {0143-1161},
  year = {2019},
  DOI = {10.1080/01431161.2018.1528018},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075212},
}