@article{fdi:010075284,
  title = {{S}entinel-2 image capacities to predict common topsoil properties of temperate and {M}editerranean agroecosystems},
  author = {{V}audour, {E}. and {G}omez, {C}{\'e}cile and {F}ouad, {Y}. and {L}agacherie, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}o be fully operational for facilitating decisions made at any spatial level, models and indicators of soil ecosystem functions require the use of precise spatially referenced soil information as inputs. {T}his study aimed at exploring the capacity for {S}entinel-2{A} ({S}2{A}) multispectral satellite images to predict several topsoil properties in two contrasted pedoclimatic environments: a temperate region marked by intensive annual crop cultivation patterns and soils derived from loess or colluvium and/or marine limestone or chalk ({V}ersailles {P}lain, 221 km(2)); and a {M}editerranean region marked by vineyard cultivation and soils derived from lacustrine limestone, calcareous sandstones, colluvium, or alluvial deposits ({P}eyne catchment, 48 km(2)). {P}rediction models of soil properties based on partial least squares regressions ({PLSR}) were built from {S}2{A} spectra of 72 and 143 sampling locations across the {V}ersailles {P}lain and {P}eyne catchment, respectively. {E}ight soil surface properties were investigated in both regions: p{H}, cation exchange capacity ({CEC}), texture fractions ({C}lay, {S}ilt, {S}and), {I}ron, {C}alcium {C}arbonate ({C}a{CO}3) and {S}oil {O}rganic {C}arbon ({SOC}) content. {P}redictive abilities were studied according to the root mean square error of cross-validation ({RMSECV}) tests, cross-validated coefficient of determination ({R}-cv(2)) and ratio of performance to deviation ({RPD}). {I}ntermediate prediction performance outcomes ({R}-cv(2) and {RPD} greater than or equal to 0.5 and 1.4, respectively) were obtained for 4 topsoil properties found across the {V}ersailles {P}lain ({SOC}, p{H}, {C}a{CO}3 and {CEC}), and near-intermediate performance outcomes (0.5 > {R}-cv(2) > 0.39, 1.4 > {RPD} > 1.3) were yielded for 3 topsoil properties ({C}lay, {I}ron, and {CEC}) found across the {P}eyne catchment and for 1 property ({C}lay) found across the {V}ersailles {P}lain. {T}he study results show what can be expected from {S}entinel-2 images in terms of predictive capacities at the regional scale. {T}he spatial structure of the estimated soil properties for bare soils pixels is highlighted, promising further improvements made to spatial prediction models for these properties based on the use of {D}igital {S}oil {M}apping ({DSM}) techniques.},
  keywords = {{ZONE} {MEDITERRANEENNE} ; {ZONE} {TEMPEREE} ; {S}oil properties ; {S}entinel-2{A} ; {P}artial least squares regression ; {T}emperate soils ; {M}editerranean soils ; {A}groecosystems ; {FRANCE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {223},
  numero = {},
  pages = {21--33},
  ISSN = {0034-4257},
  year = {2019},
  DOI = {10.1016/j.rse.2019.01.006},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075284},
}