GIS in Climate Change, Food Security and Agriculture Course

Overview

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.

No of Days

10 Days

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

Course Outline

Click on the link to view course content https://upskilldevelopment.com/gis-and-remote-sensing-in-climate-change-food-security-and-agriculture-course

What you will learn

Learning 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