• DocumentCode
    3066274
  • Title

    Wheat production forecasting for Pakistan from satellite data

  • Author

    Dempewolf, J. ; Adusei, B. ; Becker-Reshef, Inbal ; Barker, B. ; Potapov, P. ; Hansen, Mark ; Justice, Chris

  • Author_Institution
    Dept. of Geogr. Sci., Univ. of Maryland, College Park, MD, USA
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3239
  • Lastpage
    3242
  • Abstract
    Wheat is the principal winter crop in Pakistan during the winter (Rabi) season and an important food staple. Several months after harvest the local crop reporting administration in Punjab Province releases wheat yield and production statistics. The statistical estimates are based on field data collected manually from a fixed list of villages. Early season wheat production forecasts allow to better plan for wheat transactions on the world market, maintain adequate stocks, inform policy making, set support prices and increase market efficiency. This study describes a satellite-based methodology for early season wheat production forecasting. Wheat area is derived from a MODIS satellite image time series. Yield is estimated by regressing historic yields against MODIS-NDVI. The results for yield were within 6.7% and for production within 19.6% of final reported values for the 2011/12 Rabi season.
  • Keywords
    crops; regression analysis; time series; AD 2011 to 2012; MODIS satellite image time series; MODIS-NDVI; Pakistan; Punjab Province; Rabi season; early season wheat production forecasting; field data; food staple; harvest; historic yields; local crop reporting administration; market efficiency; policy making; principal winter crop; production statistics; satellite-based methodology; statistical estimates; support prices; villages; wheat area; wheat transactions; wheat yield; winter season; world market; Abstracts; Agriculture; Casting; Manuals; Measurement; Satellites; Agriculture; Forecasting; Production; Satellite;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723517
  • Filename
    6723517