The Remote Sensing and GIS in Climate Change, Food Security, and Agriculture course provides participants with the knowledge and skills to utilize remote sensing and Geographic Information Systems (GIS) technologies in addressing climate change, food security, and agricultural challenges. This course aims to equip participants with practical tools and techniques for monitoring environmental changes, analyzing spatial data, and making informed decisions to support sustainable agriculture and food security.

The primary objective of this course is to enhance participants’ understanding of remote sensing and GIS applications in the context of climate change, food security, and agriculture. By the end of the course, participants should be able to:

1. Comprehend the principles and concepts of remote sensing and GIS.
2. Apply remote sensing techniques to monitor and assess climate change impacts.
3. Analyze spatial data using GIS tools to support food security and agriculture planning.
4. Understand the linkages between climate change, food security, and agriculture.
5. Utilize remote sensing and GIS for decision-making and policy formulation in these domains.

By participating in this course, organizations can expect the following benefits:

1. Enhanced capacity of staff members in remote sensing and GIS applications.
2. Improved ability to monitor and assess climate change impacts on agriculture and food security.
3. Increased efficiency in spatial data analysis for evidence-based decision-making.
4. Strengthened capacity to develop and implement sustainable agriculture and food security projects.
5. Enhanced collaboration and knowledge-sharing among stakeholders in the field.

This course is designed for professionals and practitioners working in the fields of climate change, agriculture, food security, and natural resource management, including:

1. Environmental scientists and researchers.
2. Agriculture and food security planners.
3. Climate change and sustainability officers.
4. GIS and remote sensing specialists.
5. Development practitioners and policymakers.

The course will be conducted over a period of 10 days which will in return allow participants to gain in-depth knowledge, engage in practical exercises, and apply learned concepts through case studies and hands-on activities.

1. Introduction to Remote Sensing and GIS
   • Principles and concepts of remote sensing.
   • Introduction to Geographic Information Systems (GIS).
   • Integration of remote sensing and GIS for climate change, food security, and agriculture.
2. Climate Change and Remote Sensing
   • Remote sensing applications in climate change monitoring.
   • Detection and analysis of climate change indicators.
   • Remote sensing-based climate models and predictions.
3. Remote Sensing for Agriculture Monitoring
   • Crop mapping and land cover classification.
   • Vegetation indices and biomass estimation.
   • Monitoring agricultural productivity and yield forecasting.
4. Remote Sensing for Food Security Assessment
   • Remote sensing-based food security indicators.
   • Drought and famine monitoring using satellite imagery.
   • Assessment of land degradation and desertification.
5. GIS Analysis for Agriculture Planning
   • Spatial data acquisition and preprocessing.
   • Spatial analysis techniques for agricultural planning.
   • Suitability mapping for crop selection and land-use planning.
6. GIS for Climate Change Vulnerability Mapping
   • GIS-based climate change vulnerability assessments.
   • Mapping climate change risks and hotspots.
   • Integration of socioeconomic data for vulnerability mapping.
7. Remote Sensing and GIS for Agroforestry Management
   • Mapping and monitoring of agroforestry systems.
   • Assessment of ecosystem services in agroforestry.
   • Sustainable land management using remote sensing and GIS.
8. Land Use Change Analysis with Remote Sensing and GIS
   • Monitoring land use dynamics and changes.
   • Land use change modeling and prediction.
   • Impacts of land use change on food security and agriculture.
9. Remote Sensing and GIS for Precision Agriculture
   • Remote sensing-based precision farming techniques.
   • Variable rate technology and site-specific management.
   • Remote sensing-assisted irrigation and nutrient management.
10. Remote Sensing and GIS for Water Resources Management
    • Remote sensing-based monitoring of water resources.
    • Mapping and analysis of water availability and quality.
    • Water management strategies using GIS and remote sensing.
11. Remote Sensing and GIS for Climate-Smart Agriculture
    • Climate-smart agriculture principles and practices.
    • Integration of remote sensing and GIS in climate-smart agriculture.
    • Climate risk assessment and adaptation planning.
12. Remote Sensing and GIS for Agribusiness and Market Analysis
    • Mapping agricultural production and market dynamics.
    • Supply chain analysis using GIS and remote sensing.
    • Market access and value chain optimization.
13. Mapping and Monitoring Forest Resources with Remote Sensing and GIS
    • Forest mapping and classification using remote sensing data.
    • Forest change detection and deforestation monitoring.
    • Forest inventory and carbon stock assessment.
14. Remote Sensing and GIS in Disaster Risk Management for Agriculture
    • Early warning systems for agriculture-related disasters.
    • Post-disaster damage assessment using remote sensing.
    • Integration of GIS in disaster risk reduction planning.
15. Remote Sensing and GIS in Climate Change Adaptation Strategies
    • Climate change adaptation planning using remote sensing and GIS.
    • Mapping climate change impacts and adaptation options.
    • Participatory approaches in climate change adaptation.