@article{fdi:010087497,
  title = {{I}rrigation timing retrieval at the plot scale using surface soil moisture derived from {S}entinel time series in {E}urope},
  author = {{L}e {P}age, {M}ichel and {N}guyen, {T}. and {Z}ribi, {M}. and {B}oone, {A}. and {D}ari, {J}. and {M}odanesi, {S}. and {Z}appa, {L}. and {O}uaadi, {N}. and {J}arlan, {L}ionel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he difficulty of calculating the daily water budget of irrigated fields is often due to the uncertainty surrounding irrigation amounts and timing. {T}he automated detection of irrigation events has the potential to greatly simplify this process, and the combination of high-resolution {SAR} ({S}entinel-1) and optical satellite observations ({S}entinel-2) makes the detection of irrigation events feasible through the use of a surface soil moisture ({SSM}) product. {T}he motivation behind this study is to utilize a large irrigation dataset (collected during the {ESA} {I}rrigation + project over five sites in three countries over three years) to analyze the performance of an established algorithm and to test potential improvements. {T}he study's main findings are (1) the scores decrease with {SSM} observation frequency; (2) scores decrease as irrigation frequency increases, which was supported by better scores in {F}rance (more sprinkler irrigation) than in {G}ermany (more localized irrigation); (3) replacing the original {SSM} model with the force-restore model resulted in an improvement of about 6% in the {F}-score and narrowed the error on cumulative seasonal irrigation; (4) the {S}entinel-1 configuration (incidence angle, trajectory) did not show a significant impact on the retrieval of irrigation, which supposes that the {SSM} is not affected by these changes. {O}ther aspects did not allow a definitive conclusion on the irrigation retrieval algorithm: (1) the lower scores obtained with small {NDVI} compared to large {NDVI} were counter-intuitive but may have been due to the larger number of irrigation events during high vegetation periods; (2) merging different runs and interpolating all {SSM} data for one run produced comparable {F}-scores, but the estimated cumulative sum of irrigation was around -20% lower compared to the reference dataset in the best cases.},
  keywords = {{E}urope ; irrigation timing ; {FAO}-56 ; force-restore ; surface soil moisture ; {EUROPE} ; {FRANCE} ; {ALLEMAGNE} ; {ITALIE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {15},
  numero = {5},
  pages = {[25 ]},
  year = {2023},
  DOI = {10.3390/rs15051449},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087497},
}