@article{fdi:010092796,
  title = {{M}apping seasonal flood-recession cropland extent in the {S}enegal {R}iver {V}alley},
  author = {{B}ruckmann, {L}. and {O}gilvie, {A}ndrew and {M}artin, {D}idier and {D}iakhate, {F}. {B}. and {T}ilmant, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{F}lood-recession agriculture ({FRA}) represents a crucial source of livelihood for numerous communities across {A}frica who reside near expansive floodplains and wetlands. {H}owever, it is currently insufficiently monitored. {I}n this study, we present a methodology for mapping {FRA} harvested areas in the {S}enegal {R}iver {V}alley that is both reproducible and scalable. {O}ur methodology entails the integration of optical and radar data from {S}entinel platforms, conducted through a multitemporal analysis with a seasonal focus, and the application of the {R}andom {F}orest algorithm. {T}he results, supported by a kappa coefficient of 91.9%, demonstrate the first comprehensive mapping of {FRA} in the {S}enegal {R}iver valley, conducted between 2019 and 2023. {T}his mapping facilitates the identification of the hydrological factors that influence {FRA} harvesting. {T}he results of the analyses have demonstrated the importance of interannual variability in the cultivated areas of {FRA}, which range from 14,000 to 75,000 ha depending on the intensity of the annual flood. {T}he duration and flooded extension are the primary factors that regulate the cropping pattern of {FRA} over the floodplain. {T}he flood duration must be around 35 days to permit the cultivation, with growth generally starting between 10 and 30 {N}ovember. {I}n consideration of these findings, we recommend that future water management strategies and rural development initiatives give due consideration to {FRA}, to enhance the visibility of farmers.},
  keywords = {{SENEGAL} ; {GUINEE} ; {MALI} ; {MAURITANIE} ; {FLEUVE} {SENEGAL} {VALLEE}},
  booktitle = {},
  journal = {{R}emote {S}ensing {A}pplications : {S}ociety and {E}nvironment},
  volume = {37},
  numero = {},
  pages = {101473 [26 p.]},
  ISSN = {2352-9385},
  year = {2025},
  DOI = {10.1016/j.rsase.2025.101473},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092796},
}