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Using Satellite Remote Sensing Data in a Spatially Explicit Price Model: Vegetation Dynamics and Millet Prices

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Listed:
  • Molly E. Brown
  • Jorge E. Pinzon
  • Stephen D. Prince

Abstract

Famine early warning organizations use data from multiple disciplines to assess food insecurity of communities and regions in less-developed parts of the world. Here we present a model that integrates information on the suitability of the growing season and millet prices in the dry central and northern areas of West Africa. The model is used to create spatially continuous maps of millet prices. By coupling the model with remote sensing vegetation data estimated one to four months into the future, we create a leading indicator of potential price movements for early warning of food crises.

Suggested Citation

  • Molly E. Brown & Jorge E. Pinzon & Stephen D. Prince, 2008. "Using Satellite Remote Sensing Data in a Spatially Explicit Price Model: Vegetation Dynamics and Millet Prices," Land Economics, University of Wisconsin Press, vol. 84(2), pages 340-357.
    • Handle: RePEc:uwp:landec:v:84:y:2008:i:2:p:340-357
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    References listed on IDEAS

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    Cited by:

    1. Grace, Kathryn & Brown, Molly & McNally, Amy, 2014. "Examining the link between food prices and food insecurity: A multi-level analysis of maize price and birthweight in Kenya," Food Policy, Elsevier, vol. 46(C), pages 56-65.
    2. Essam, Timothy M., 2012. "Using Satellite-Based Remote Sensing Data to Assess Millet Price Regimes and Market Performance in Niger," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124654, Agricultural and Applied Economics Association.

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    More about this item

    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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