Remote Sensing and GIS in Climate Change, Food Security, and Agriculture

Course Overview

• Understand the role of remote sensing and GIS in addressing climate change challenges.
• Explore the use of remote sensing and GIS for monitoring food security and agricultural practices.
• Learn how to apply GIS tools to analyze climate data and agricultural productivity.
• Develop skills in interpreting remote sensing data for decision-making in agriculture and climate change adaptation.

Training Format:In-class, Virtual, In-house

Location:Lagos, Accra, Nairobi, Kigali

Language:English, French

Nigeria Price:
₦350000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$5500

Rwanda Price:
$6000

Nigeria Price:₦350000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$4000

Rwanda Price:
$4000

Nigeria Price: ₦350000

Int'l., (Nigeria) Price:
$1000

Ghana Price: $4000

Kenya Price: $4000

Rwanda Price: $4000

Introduction to Remote Sensing and GIS
• Overview of remote sensing and GIS technologies.
• Basic principles of remote sensing (satellite imagery, aerial photography, sensors).
• Types of remote sensing data (optical, thermal, radar).
• GIS software and tools for spatial data analysis.
• Applications of remote sensing and GIS in environmental monitoring.

Impact of Climate Change on Agriculture and Food Security
• Climate change effects on agriculture (temperature shifts, precipitation patterns).
• Using remote sensing to monitor climate variables (temperature, drought, rainfall).
• GIS for assessing vulnerability in agricultural regions.
• Case studies on climate change impact in agriculture.
• Monitoring crop health and stress using remote sensing technologies.

GIS and Remote Sensing for Agricultural Monitoring
• Role of remote sensing in crop monitoring and yield prediction.
• GIS-based tools for precision agriculture (soil health, crop growth, irrigation management).
• Mapping and monitoring land use and land cover changes in agricultural areas.
• Remote sensing for assessing soil moisture and nutrient levels.
• Application of GIS for farm management and decision support.

Integrating Remote Sensing and GIS for Climate Adaptation and Food Security
• Using remote sensing and GIS to model climate scenarios and agricultural outcomes.
• Identifying and mapping areas at risk for food insecurity.
• GIS for early warning systems in food security and climate disasters.
• Integrating remote sensing data into agricultural policy and planning.
• Future trends in remote sensing, GIS, and climate change adaptation strategies for agriculture.

1ST BATCH: Tuesday, January 27, 2026 — Friday, January 30, 2026.

2ND BATCH: Tuesday, May 19, 2026 — Thursday, January 22, 2026.

3RD BATCH: Tuesday, September 15, 2026 — Friday, September 18, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.

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