Remotely Sensed Information for Crop Monitoring and Food Security - Techniques and methods for arid and semi-arid areas

Topic outline

• General
  

  General

  Remotely Sensed Information for Crop Monitoring and Food Security - Techniques and methods for arid and semi-arid areas This course describes how the information derived from remote sensing is obtained and best used for crop monitoring in a food security context. It outlines what the exact meanings of the products are and shows how their early warning and food availability information contents can be combined efficiently with other sources (e.g. households surveys, market analyses, nutritional surveys, etc.). This course has been developed as part of the EU-FAO Programme on "Improved Global Governance for Hunger Reduction" and the technical contents have been provided by the Joint Research Centre of the European Commission. Duration:  11 hours  Publication Date:  November 2014
• System Requirements
  

  System Requirements

  For the online version of this course it is necessary to have the Adobe Flash player installed and enabled in your browser. Please be aware that the course is not supported by iOS (iPad or iPhone). 

  The downloadable version only runs on Windows PC’s and no additional software is needed.
• Audience
  

  Audience

  Food security analysts with different backgrounds (economy, social sciences, nutrition, etc.), who commonly deal with spatial data - including remote sensing derived information -for instance for analysis of early warning products and crop monitoring bulletins in food insecure countries, especially in cases where classical food security ground assessments are difficult to be carried out.

  Crop monitoring experts with notions in agronomy and some experience in spatial data analysis who want to deepen their understanding of remote sensing products in a food security context.
  
• You will learn about
  

  You will learn about

  • Data sources and products used for remote sensing analysis of crop monitoring
  • Calculation and evaluation of anomalies derived from rainfall and NDVI
    
  • Production of seasonal graphs for rainfall and NDVI
    
  • Phenological stages in the over-time analysis of crop conditions
    
  • Creating, maintaining and archiving remote sensing images
    
  • Most common software for processing remote sensing data
    
• Partners
  

  Partners

   

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