Training Date 9 May - 13 May, 2025
Training Mode Physical
Venue Maarifa Consult office
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Introduction

The main objective of the course is to enhance the capabilities of technical staff involved in Food Security Analysis, climate analysis and agriculture by providing them with an understanding on the use of spatial and Earth Observation (EO) information as a tool to integrate knowledge about climate change, agriculture, and food security in a meaningful and innovative way.

objectives

  • Understand the basic concepts of GIS and Remote Sensing
  • Apply GIS and RS for designing implementations of large scale early warning systems
  • Use participatory GIS (PGIS) tools during assessments at community level
  • Apply remote sensing data and image processing techniques to monitor select CCAFS indicators
  • Use mobile phones to gather data during field assessments/surveys
  • Design and implement their own GIS projects that integrate remote sensing data and GPS-based field information
  • Assess spatial data availability and understand the importance of spatial data infrastructure (SDI), for data sharing by organizations involved in CCAFS
  • Understand concepts and main frameworks in Food Security Analysis
  • Understand concepts and main frameworks in Climate Change Analysis
  • Understand concepts and main frameworks in Agriculture
  • Understand the relationship between climate change, agriculture and food security
  • Apply GIS and Remote Sensing as Decision support tool for Climate Change, Agriculture and Food Security (CCAFS).
  • Use GIS information in planning FS interventions through spatial multi-criteria analysis

 

Outline

  • Introduction to GIS and RS Data & Food Security:

      – To introduce the application of GIS and RS tools and data in food security;
      – To explore GIS and RS data and applications in the context of food security in Thailand.

  • GIS and RS as Tools in Food Security Analysis:

      – Steps in food security analysis, Population targeting with GIS and RS;
      – Communicating and reporting food security with GIS and RS;
      – Use of mobile phone or web application for GIS data collection in assessment and surveys.

  • Food Security Indicators:

      – What is an Indicator of food security?;
      – Calculating indicators method of food security;
      – Exploring multiple aspects of indicators for food security;
      – Collecting food GIS data from households.

  • Climate Change Data and Food Availability:

      – Introduction to the concept of climate change;
      – The impacts of climate change on food security;
      – Using GIS and RS and climate change data on food availability issues.

  • GIS and RS in Accessibility & Sustainable Agriculture Systems:

      – Principles of sustainable development for the improvement of agricultural production;
      – Application of crop model, GIS and RS related to agriculture systems;
      – A case study of accessibility and sustainable agriculture for Kenya.

  • Using GIS and RS in Food Utilization Issue:

      – Food utilization: safety, quality and availability;
      – How food safety will affect food security in the selected population?;
      – Food-borne disease analysis using spatial statistics and information dissemination to public;
      – Application of GIS and RS to specific cases related to food safety in Kenya.

  • Land use Change Model and Food Stability:

      – What is Food stability? And What are effects of land use change and food stability?;
      – Introduction to advanced GIS and RS in land use change a case specific of Kenya;
      – Land use classification using supervised and unsupervised classification;
      – Application of GIS and RS tools in Land use change modelling and weather variability.

  • Case Study 1 - GIS Data:

      – Creating the questionnaire or field surveys of selected topic; Specify spatial data for creating the model;
      – Field surveys and data collection by mobile phone or selected tool; Plotting based map for specific population.

  • Case Study 2 - Access and Risk:

      – Conclude the basic concept of food access & specify spatial data for creating the risk model and accessibility;
      – Creating food security risk model for Kenya by using GIS and Remote Sensing methods.

  • Case Study 3 - Food Availability:

      – Conclude the basic concept of food availability and relationship with climate change;
      – Analysis of climate change data and food availability by using GIS and RS methods;
      – Specify spatial data and climate data of food availability.

  • Case Study 4 - Food Safety:

      – Conclude the basic concept of food utilization and safety; Specify spatial data of food safety issue;
      – Creating GIS map and layout of food-borne disease using spatial statistics.

  • 12. Case Study 5 - Land use Change Model and Food stability:
      1. – Conclude the basic concept of land use change model and food stability;
        – Specify spatial data for creating land use change model;
        – Creating GIS land use change model of selected food security issues;
        – Design and implement GIS projects that integrate GIS and RS data and GPS-based filed information.

Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies. Training manuals and additional reference materials are provided to the participants.

Tailor-Made

We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more: training@maarifaconsult.com / and cc    maarifaconsult@gmail.com

OR Call us on +256774361213

Fees & Payment

Fees Ugandans: UGX400000 International: USD200

The training fee covers tuition fees, learning materials, Lunch & Breakfast. Payment should be sent to our bank account before start of training and proof of payment sent to training@maarifaconsult.com /or maarifaconsult@gmail.com

 

Bank Account can be Requested.