@article{fdi:010078832,
  title = {{P}rediction of soil organic and inorganic carbon concentrations in {T}unisian samples by mid-infrared reflectance spectroscopy using a {F}rench national library},
  author = {{G}omez, {C}{\'e}cile and {C}hevallier, {T}iphaine and {M}oulin, {P}. and {B}ouferra, {I}. and {H}maidi, {K}. and {A}rrouays, {D}. and {J}olivet, {C}. and {B}arth{\`e}s, {B}ernard},
  editor = {},
  language = {{ENG}},
  abstract = {{M}id-infrared reflectance spectroscopy ({MIRS}, 4000-400 cm-1) is being considered to provide accurate estimations of soil properties, including soil organic carbon ({SOC}) and soil inorganic carbon ({SIC}) contents. {T}his approach has mainly been demonstrated by using datasets originating from the same area {A}, with similar geopedological conditions, to build, validate and test prediction models. {T}he objective of this study was to analyse how {MIRS} performs when applied to predict {SOC} and {SIC} contents, from a calibration database collected over a region {A}, to predict over a region {B}, where {A} and {B} have no common area and different soil and climate conditions. {T}his study used a {F}rench {MIRS} soil dataset including 2178 topsoil samples to calibrate {SIC} and {SOC} prediction models with partial least squares regression ({PLSR}), and a {T}unisian {MIRS} topsoil dataset including 96 soil samples to test them. {O}ur results showed that when using the {F}rench {MIRS} soil database, i) the {SOC} and {SIC} of {F}rench validation samples were successfully predicted using global models ({R}2val = 0.88 and 0.98, respectively), ii) the {SIC} of {T}unisian samples was also predicted successfully both using a global model and using a selection of spectral neighbours from the {F}rench calibration database ({R}2test of 0.96 for both), iii) the {SOC} of {T}unisian samples was predicted moderately well by global model ({R}2test of 0.64) and a transformation by natural logarithm of the calibration {SOC} values significantly improved the {SOC} prediction of {T}unisian samples ({R}2test of 0.97), and iv) a transformation by natural logarithm of {SOC} values provided more benefit than a selection of spectral neighbours from the {F}rench calibration database for predicting {T}unisian {SOC} values. {T}herefore, in the future, {MIRS} might replace conventional physico-chemical analysis techniques, or at least be considered as an alternative technique, especially when optimally exhaustive calibration databases will become available.},
  keywords = {{TUNISIE} ; {FRANCE}},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {375},
  numero = {},
  pages = {art. 114469 [14 ]},
  ISSN = {0016-7061},
  year = {2020},
  DOI = {10.1016/j.geoderma.2020.114469},
  URL = {https://www.documentation.ird.fr/hor/fdi:010078832},
}