Remote Sensing of Droughts Impacts on Maize Prices Using SPOT-VGT Derived Vegetation Index

  • John A. OgbodoEmail author
  • Ejiet John Wasige
  • Sakirat M. Shuaibu
  • Timothy Dube
  • Samuel Emeka Anarah
Part of the Climate Change Management book series (CCM)


Maize production in Kenya is usually affected by climate variability. Climate variability, further has implications for maize prices and national food security. The main objective of this study was to determine temporal fluctuations of maize prices in five (5) markets in Kenya; using NDVI values from SPOT-VEGETATION imagery of 1998–2010. The results show a weak relationship between maxNDVI and Kenyan maize wholesale price. Out of the five (5) markets analysed, only Kisumu (r2 = −0.11) shows a negative regression value; whereas, Nairobi (r2 = 0.29), Mombasa (r2 = 0.27), Nakuru (r2 = 0.44) and Eldoret (r2 = 0.05) portray a positive relationship. Overall, the findings of this study indicate that maize prices were high during drought periods (i.e. negative anomalies) and low during wet seasons (i.e. positive anomalies). The findings of this work underscores the potential for maize price monitoring using satellite derived vegetation indices, such as the normalised difference vegetation index towards providing valuable inputs to the food security modelling community. We however, recommend that, in the future, there is need to integrate a cumulative vegetation index (CVI) method to reduce any differences that could exist during analysing maize growing stage using vegetation index remote sensing techniques.


Drought Food insecurity maxNDVI Stepwise regression SPOT vegetation Wholesale maize price 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • John A. Ogbodo
    • 1
    • 2
    Email author
  • Ejiet John Wasige
    • 3
  • Sakirat M. Shuaibu
    • 4
  • Timothy Dube
    • 5
  • Samuel Emeka Anarah
    • 6
  1. 1.Department of Forestry and Wildlife ManagementNnamdi Azikiwe UniversityAwkaNigeria
  2. 2.STEi Foundation - Sustainable TransEnvironment International FoundationMakurdiNigeria
  3. 3.Department of Environmental ManagementMakarere UniversityKampalaUganda
  4. 4.University of TwenteKingswoodAustralia
  5. 5.Department of Earth SciencesUniversity of Western CapeBellvilleSouth Africa
  6. 6.Department of Agricultural Economics and ExtensionNnamdi Azikiwe UniversityAwkaNigeria

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