@article{fdi:010076559,
  title = {{Q}uantification of soil organic carbon stock in urban soils using visible and near infrared reflectance spectroscopy ({VNIRS}) in situ or in laboratory conditions},
  author = {{A}llory, {V}. and {C}ambou, {A}. and {M}oulin {E}smard, {P}atricia and {S}chwartz, {C}. and {C}annavo, {P}. and {V}idal-{B}eaudet, {L}. and {B}arth{\`e}s, {B}ernard},
  editor = {},
  language = {{ENG}},
  abstract = {{U}rban soils, like other soils, can be sink or source for atmospheric carbon dioxide, and due to urban expansion, are receiving increasing attention. {S}tudying their highly variable attributes requires high-density sampling, which can hardly be achieved using conventional approaches. {T}he objective of this work was to determine the ability of visible and near infrared reflectance spectroscopy ({VNIRS}) to quantify soil organic carbon ({SOC}) concentration (g{C} kg(-1)) and stock (g{C} dm(-3), or {M}g{C} ha(-1) for a given depth layer) in parks and sealed soils of two {F}rench cities, {M}arseille and {N}antes, using spectra collected on pit walls or in laboratory conditions (air dried, 2 mm sieved samples). {B}etter {VNIRS} predictions were achieved using laboratory than in situ spectra ({R}-2 approximate to 0.8-0.9 vs. 0.7-0.8 in validation), and for sample {SOC} concentration than stock ({R}-vai(2) up to 0.83 in situ and 0.95 in the laboratory vs. 0.78 and 0.89, respectively). {S}tock was conventionally calculated according to four methods that variably account for coarse particles (>2 mm); and it was better predicted when coarse particles were not taken into account. {T}his was logical using laboratory spectra, collected on 2 mm sieved samples; but concerning in situ spectra, this suggested the operator tended to put the spectrometer beside the coarsest particles during spectrum acquisition. {T}his point is worth considering for urban soils, often rich in coarse particles. {S}tocks were then aggregated at the profile level: {SOC} stock prediction was more accurate at profile than sample level when using laboratory spectra ({R}-vai(2) = 0.94 vs. 0.89, respectively), probably due to uncertainty compensation; but this was not the case when using in situ spectra, possibly because samples collected for {SOC} analysis and corresponding {VNIRS} scans were not at the exact same location. {T}his work demonstrates {VNIRS} usefulness for quantifying {SOC} stock time- and cost-effectively, in urban soils especially.},
  keywords = {{D}iffuse reflectance spectroscopy ; {S}oil organic carbon concentration ; {F}rench cities ; {S}ealed soils ; {C}oarse particles ; {FRANCE} ; {MARSEILLE} ; {NANTES}},
  booktitle = {},
  journal = {{S}cience of the {T}otal {E}nvironment},
  volume = {686},
  numero = {},
  pages = {764--773},
  ISSN = {0048-9697},
  year = {2019},
  DOI = {10.1016/j.scitotenv.2019.05.192},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076559},
}