@article{fdi:010048171,
  title = {{N}ear infrared spectroscopy for soil bulk density assessment},
  author = {{M}oreira, {C}. {S}. and {B}runet, {D}idier and {V}erneyre, {L}. and {S}{\`a}, {S}. {M}. {O}. and {G}aldos, {M}. {V}. and {C}erri, {C}. {C}. and {B}ernoux, {M}artial},
  editor = {},
  language = {{ENG}},
  abstract = {{P}>{S}oil bulk density values are needed to convert organic carbon content to mass of organic carbon per unit area. {H}owever, field sampling and measurement of soil bulk density are labour-intensive, costly and tedious. {N}ear-infrared reflectance spectroscopy ({NIRS}) is a physically non-destructive, rapid, reproducible and low-cost method that characterizes materials according to their reflectance in the near-infrared spectral region. {T}he aim of this paper was to investigate the ability of {NIRS} to predict soil bulk density and to compare its performance with published pedotransfer functions. {T}he study was carried out on a dataset of 1184 soil samples originating from a reforestation area in the {B}razilian {A}mazon basin, and conventional soil bulk density values were obtained with metallic "core cylinders". {T}he results indicate that the modified partial least squares regression used on spectral data is an alternative method for soil bulk density predictions to the published pedotransfer functions tested in this study. {T}he {NIRS} method presented the closest-to-zero accuracy error (-0.002 g cm-3) and the lowest prediction error (0.13 g cm-3) and the coefficient of variation of the validation sets ranged from 8.1 to 8.9% of the mean reference values. {N}evertheless, further research is required to assess the limits and specificities of the {NIRS} method, but it may have advantages for soil bulk density predictions, especially in environments such as the {A}mazon forest.},
  keywords = {},
  booktitle = {},
  journal = {{E}uropean {J}ournal of {S}oil {S}cience},
  volume = {60},
  numero = {5},
  pages = {785--791},
  ISSN = {1351-0754},
  year = {2009},
  DOI = {10.1111/j.1365-2389.2009.01170.x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010048171},
}