• DocumentCode
    573471
  • Title

    Estimation of sowing dates at the village level: A probabilistic approach based on vegetation onset detections

  • Author

    Marinho, Eduard ; Vancutsem, Christelle ; Fasbender, Dominique ; Kayitakire, Francois ; Pini, Giancarlo ; Pekel, Jean-Francois

  • Author_Institution
    Joint Res. Centre, Eur. Comm., Ispra, Italy
  • fYear
    2012
  • fDate
    2-4 Aug. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The length of the crop season is a major determinant of yields in Sahel. Based on green-up onset detection derived from MODIS time series, this paper proposes a new methodology for the estimation of the sowing dates. It builds upon a novel stochastic model that translates vegetation onset detections around villages into sowing probabilities. Results for Niger show that this approach outperforms the standard method adopted in the region based on rainfall thresholds.
  • Keywords
    agriculture; crops; stochastic processes; time series; MODIS time series; Sahel; crop season; green-up onset detection; probabilistic approach; rainfall threshold; sowing date estimation; sowing probability; stochastic model; vegetation onset detection; village level; Agriculture; Estimation; Indexes; MODIS; Soil; Time series analysis; Vegetation mapping; MODIS; Sahel; sowing dates; statistics; vegetation onset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2495-3
  • Electronic_ISBN
    978-1-4673-2494-6
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2012.6311695
  • Filename
    6311695