@article{fdi:010095861,
  title = {{D}etection of short-term changes in soil clay content at field scale with {S}entinel-2 enables mapping of the reservoir sediment reuse in cropland},
  author = {{G}aab, {J}. and {R}uiz, {L}. and {S}ekhar, {M}. and {D}harumarajan, {S}. and {T}utondele, {J}. {M}. and {O}koto, {M}. {E}. and {G}omez, {C}{\'e}cile},
  editor = {},
  language = {{ENG}},
  abstract = {{A}mong the wide variety of existing agricultural practices, some amendments can lead to changes in soil properties, including those perceived as permanent, such as clay content. {T}hese modifications pose new challenges for mapping and monitoring soil characteristics. {I}n {S}outh {I}ndia, one such practice is the application of sediment from reservoirs onto agricultural fields. {O}ur study investigates the ability of {S}entinel-2 imagery to detect changes in topsoil clay content induced by this practice. {W}e used data from a cultivated watershed in {S}outh {I}ndia, including 164 topsoil samples, and a set of control fields (19 without and 43 with sediment application). {T}wo {S}entinel-2 images acquired in {F}ebruary and {A}pril 2017 (before and after sediment spreading) were used to estimate soil clay content via {M}ultiple {L}inear {R}egression ({MLR}) models. {C}omparing the clay content maps from both dates revealed significant increases in areas where sediment was applied. {V}alidation with control fields demonstrated that {S}entinel-2 images successfully captured clay content changes attributable to sediment application. {W}hen extended to the entire cultivated area, our approach identified 242 fields exhibiting a significant clay increase in 2017. {T}hese results highlight the potential of multi-temporal {S}entinel-2 data to monitor short-term changes in soil properties driven by agricultural practices. {F}uture work could leverage the full {S}entinel-2 archive (from 2017 onwards) to quantify long-term dynamics of sediment application across broader regions. {M}ore generally, this approach contributes to the development of {E}arth observation-based frameworks for tracking soil property changes associated with evolving agricultural systems at multiple spatial and temporal scales.},
  keywords = {{S}oil mapping ; {I}ndia ; {A}mendment ; {MLR} method ; {INDE}},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {464},
  numero = {},
  pages = {117630 [16 p.]},
  ISSN = {0016-7061},
  year = {2025},
  DOI = {10.1016/j.geoderma.2025.117630},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095861},
}