Geographic Information Systems and Remote Sensing

Pretoria
1 June to 12 June
Overview: 

Geographic Information Science (GISc) is the science of linking data to locations to explore spatial relationships. Geographic Information Systems (GIS) is more than just maps as it can be used to evaluate relationship between different spatial information, identify the best location for new development, locate pollution point sources, find the easiest way to get from point A to point B, and develop a better understanding of the way the world interacts. GIS is linked with other spatially related tools, such as Remote Sensing (RS) and Global Positioning Systems (GPS), as it is essential to collect, create, analyse, generate and display spatial data. The technology gives a visual impression of the landscape that helps to make quick decision in resource management.

This course offers a range of methods to manage and process geographic information. Emphasis is placed on the nature of geographic information, data models and structures for geographic information, geographic data input, data manipulation and data storage, spatial analytics and modeling techniques, and error analysis. The course links GIS with other data generating tools such as Remote Sensing, Google Earth and digital elevation models (DEM). The goal of the course is to understand GIS concepts such as spatial data sources and structures, projections and coordinate systems, data editing and creation, and geospatial analysis and apply them in practical situations.

Target Audience: 
  1. Researchers in spatial modelling
  2. GISc practitioners
  3. Surveyors
  4. Hydrologist
  5. Cartographers
  6. Planners
  7. Decision makers
  8. Resource managers
  9. Government and non-governmental organizations
  10. Independent researchers
Course Outcomes: 

Upon completing this course, delegates should be able to:

  • Understand the role and importance of GIS on Natural Resources management
  • Outline the components of GIS
  • Apply GIS technologies in Natural Resource management
  • Explain the policy issues of geographical data generation and application
  • Introduce decision support system for resource management and planning
  • Provide practical skill on the use RS, GPS and GIS technologies resource management
  • Exposing some case studies related to  the natural resource management and risk assessment
  • Generate data from Google Earth, Remote Sensing, GPS and DEM
  • Use GIS to identify, explore, understand, and solve spatial problems
  • Design and implement a GIS project