@article{fdi:010071943,
  title = {{S}ensitivity of clay content prediction to spectral configuration of {VNIR}/{SWIR} imaging data, from multispectral to hyperspectral scenarios},
  author = {{G}omez, {C}{\'e}cile and {A}deline, {K}. and {B}acha, {S}. and {D}riessen, {B}. and {G}orretta, {N}. and {L}agacherie, {P}. and {R}oger, {J}. {M}. and {B}riottet, {X}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he use of digital soil mapping, with the help of spectroscopic data, provides a non-destructive and cost-efficient alternative to soil property laboratory measurements. {V}isible, near-infrared and short wave infrared ({VNIR}/ {SWIR}, 400-2500 nm) hyperspectral imaging is one of the most promising tools for topsoil property mapping. {T}he aim of this study was to test the sensitivity of soil property prediction results to coarsening image spectral resolution. {T}his may offer an analysis of the potential of forthcoming hyperspectral satellite sensors, e.g., {HYP}erspectral {X} {IM}agery ({HYPXIM}) or {E}nvironmental {M}apping and {A}nalysis {P}rogram ({E}n{MAP}), and existing multispectral sensors, e.g., {SENTINEL}-2 {M}ultispectral {S}ensor {I}nstrument ({MSI}) or {LANDSAT}-8 {O}perational {L}and {I}mager ({OLI}), for soil properties mapping. {T}his study used {VNIR}/{SWIR} hyperspectral airborne data acquired by the {AISA}-{DUAL} sensor (initial spectral and spatial resolutions of approximately 5 nm and 5 m, respectively) over a 300 km(2) {M}editerranean rural region. {T}en spectral configurations were built and divided in the following two groups: i) six spectral configurations corresponding to simulated sensors with regular spectral resolution from 5 nm to 200 nm (i.e., the {F}ull {W}idth at {H}alf {M}aximum ({FWHM}) remains constant throughout the considered spectral domain; this includes the simulation of the forthcoming {HYPXIM} and {E}n{MAP} hyperspectral satellites) and ii) four spectral configurations corresponding to existing multispectral sensors with irregular spectral resolution (i.e., the {FWHM} differs from spectral sampling interval; {A}dvanced {S}paceborne {T}hermal {E}mission and {R}eflection {R}adiometer ({ASTER}), {SENTINEL}-2 {MSI}, {LANDSAT}-7 {E}nhanced {T}hematic {M}apper ({ETM} +) and {LANDSAT}-8 {OLI}). {T}he soil property studied in this paper is the clay content, defined as the percentage of granulometric fraction finer than 2 mu m by weight of the soil, which will be estimated using the partial least squares regression method. {O}ur results showed that i) spectral configurations with regular spectral resolutions from 5 to 100 nm provided similar and good clay content prediction performances ({R}-val(2) > 0.7 and {RPIQ} > 3) and allowed clay mapping with correct short-scale variations, ii) the spectral configuration with a regular spectral resolution of 200 nm provided unsatisfactory clay content prediction performance ({R}-val(2) similar or equal to 0.01 and {RPIQ} similar or equal to 1.65) and iii) the {ASTER} sensor was the only existing multispectral sensor that provided both correct performance of clay content estimation ({R}-val(2) similar or equal to 0.8 and {RPIQ} similar or equal to 3.72) and correct clay mapping. {T}herefore, clay mapping by the {ASTER} multispectral data should be pursued while awaiting the launch of forthcoming hyperspectral satellite sensors (e.g., {HYPXIM} and {E}n{MAP}), which will be good candidates for future large clay mapping campaigns over bare soils.},
  keywords = {{S}oil spectroscopy ; {C}lay ; {H}yperspectral and multispectral imagery ; {D}igital soil mapping ; {S}atellite ; {PLSR} ; {S}pectral resolution ; {TUNISIE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {204},
  numero = {},
  pages = {18--30},
  ISSN = {0034-4257},
  year = {2018},
  DOI = {10.1016/j.rse.2017.10.047},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071943},
}