@article{fdi:010077109,
  title = {{T}he impact of acquisition date on the prediction performance of topsoil organic carbon from {S}entinel-2 for croplands},
  author = {{V}audour, {E}. and {G}omez, {C}{\'e}cile and {L}oiseau, {T}. and {B}aghdadi, {N}. and {L}oubet, {B}. and {A}rrouays, {D}. and {A}li, {L}. and {L}agacherie, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he spatial assessment of soil organic carbon ({SOC}) is a major environmental challenge, notably for evaluating soil carbon stocks. {R}ecent works have shown the capability of {S}entinel-2 optical data to predict {SOC} content over temperate agroecosystems characterized by annual crops, using a single acquisition date. {C}onsidering a {S}entinel-2 time series, this work intends to analyze the impact of acquisition date, and related weather and soil surface conditions on the prediction performance of topsoil {SOC} content (plough layer). {A} {S}entinel-2 time-series was gathered, comprised of the dates corresponding to both the maximum of bare soil coverage and minimum of cloud coverage. {C}ross-validated partial least squares regression ({PLSR}) models were constructed between soil reflectance image spectra, and {SOC} content analyzed from 329 top soil samples collected over the study area. {C}ross-validation {R}-2 ranged from 0.005 to 0.58, root mean square error from 5.86 to 3.02 g.kg(-1) and residual prediction deviation values from 1.0 to 1.5 (without unit), according to date. {T}he main factors influencing these differences were soil roughness, in conjunction with soil moisture, and the cloud and cloud shadow cover of the entire tile. {T}he best performing dates were spring dates characterized by both lowest soil surface roughness and moisture content. {N}ormalized difference vegetation index ({NDVI}) values below 0.35 did not influence prediction performance. {T}his consolidates the previous results obtained during single date acquisitions and offers wider perspectives for the further use of {S}entinel-2 into multidate mosaics for digital soil mapping.},
  keywords = {soil organic carbon content ; {S}entinel-2 ; surface roughness ; soil ; moisture ; {V}ersailles ; {F}rance ; {FRANCE} ; {VERSAILLES}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {11},
  numero = {18},
  pages = {art. 2143 [17 p.]},
  year = {2019},
  DOI = {10.3390/rs11182143},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077109},
}