GIS and Remote Sensing Course

Making timely decisions requires not only innovative ways to access accurate and real time information, but also tools to help present the information in ways that are useful. Giving a spatial dimension to data and performing spatial analysis in a GIS environment speeds interpretation visualization which eventually speeds up implementation of programs. Integrating GIS and Remote Sensing as a decision making tool has seen many organizations gain competitive advantage and remain relevant globally. Everything that happens in this world has a spatial dimension and this has made GIS applicable across all fields e.g. in health, agriculture, forestry, mining, crime, business, transport and communications, utility management, climate change, planning etc. This training course on GIS Mapping and Spatial Data Analysis using QGIS is aimed at helping participants understand how well they can apply GIS and remote sensing technology in getting the best out of spatial data. The course will be offered using Quantum GIS (QGIS) software.

Target Participants

This course is ideal for cartographers, GIS users, IT professionals, web developers, geoscientists, surveyors, software engineers, database and system administrators, and monitoring and evaluation experts.

Course Duration

5 Days

What you will learn

By the end of this course the participants will be able to:

• Easily develop and implement a GIS project
• Master the principles and concepts of spatial analysis using GIS and RS technologies
• Comfortably acquire, manipulate and save data sources in a QGIS software
• Understand how GIS database works and how to update them
• Easily edit data in QGIS
• Learn digital image processing techniques
• Master key techniques in output and results dissemination in GIS project.
• Discover and use the internet for publishing maps

Course Outline

Introduction to GIS concepts

• Principles of GIS and  Remote Sensing
• Components of GIS Systems
• GIS Capabilities and Functions
• Spatial Data Infrastructure

Introduction to GIS data

• Vector geometries
• Vector information
• Raster basics
• Data attribute table
• Metadata