@article{fdi:010068804,
  title = {{P}redictive ability of soil properties to spectral degradation from laboratory {V}is-{NIR} spectroscopy data},
  author = {{A}deline, {K}. {R}. {M}. and {G}omez, {C}{\'e}cile and {G}orretta, {N}. and {R}oger, {J}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{L}aboratory {V}isible-{N}ear {I}nfrared ({V}is-{NIR}) spectroscopy is a good alternative to costly physical and chemical soil analysis to estimate a wide range of soil properties. {V}arious statistical methods relate soil {V}is-{NIR} spectra to soil properties including partial least-squares regression ({PLSR}), the most common"multivariate statistical technique in soil science. {M}ost efforts are generally dedicated to the comparison of methodologies and their optimization for the estimation of soil properties. {I}nstead, the focus of this paper is to assess the prediction of soil properties from laboratory {V}is-{NIR} spectroscopy data in regards to spectral degradation. {C}onsecutively, both spectra quality and {PLSR} models quality are analyzed across the definition of different spectral configurations, each one characterized by three parameters: the number of spectral bands, the spectral resolution and the spectral sampling interval. {T}he originality of this work is to perform this study on four soil properties with different spectral absorption features due to their various physico-chemical interactions with soil substrate, namely: clay, free iron oxides, calcium carbonate ({C}a{CO}3) and p{H}. {T}he initial database is composed of 1961 spectral bands, spectral resolutions of 3 and 10 nm in the 400-1000 nm and 1000-2500 nm ranges, respectively, with a resampled spectral interval of 1 nm. {S}even degraded spectral configurations were built from this reference database with a number of spectral bands decreasing from 328 to 10, a spectral resolution decreasing from 3 nm to 200 nm, and a spectral sampling interval equaling the spectral resolution (i.e., uniform interval sampling). {A}ll of these databases were composed of 148 soil samples collected at a {M}editerranean site. {PLSR} predicted the four selected soil properties, and the results were as follows: (1) the prediction performances of the {PLSR} models were accurate and globally stable with a spectral resolution between 3 and 60 nm regardless of the soil properties ({R}-2 decreased from 0.8 to 0.77 for clay, from 0.88 to 0.84 for {C}a{CO}3, from 0.66 to 4158 for p{H} and remained constant at 0.78 for iron), (2) the prediction performances decreased, but remained acceptable for clay, iron oxides and {C}a{CO}3 at spectral resolutions between 60 and 200 nm ({R}-2 > 0.7), (3) the sensitivity of a given soil property to spectral configurations depended on its spectral features and correlations with other soil properties.},
  keywords = {{L}aboratory {V}is-{NIR} spectroscopy ; {S}oil properties ; {P}hysico-chemical features ; {P}artial least squares regression ; {S}pectral resolution ; {FRANCE} ; {ZONE} {MEDITERRANEENNE}},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {288},
  numero = {},
  pages = {143--153},
  ISSN = {0016-7061},
  year = {2017},
  DOI = {10.1016/j.geoderma.2016.11.010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068804},
}