E-learning

Get the foundational knowledge of spatial data and mapping. Find out about the various types of maps, coordinate systems and map projections. Explore the history and evolution of mapping. And familiarise with the methods and technologies used in spatial data acquisition.

Learn the basic concepts of GIS and its key components. Work with different types of geodata and understand and apply data models in GIS. Create maps using GIS software, specifically QGIS and web tools and apply cartographic visualization techniques to effectively represent spatial data.

Discover advanced spatial analysis using GIS and utilize and customize various GIS toolboxes for specific tasks. Build and apply GIS models to solve spatial problems. Implement digital tools and apps in precision farming projects. Analyze and interpret sensor data for agricultural applications.

The training materials offer a detailed technical foundation for understanding how remote sensing systems work physically and how their data can be evaluated for accuracy and reliability. The concepts of energy conversion by sensors, the importance of resonance, and the statistical nature of information and knowledge are central to this understanding. The detailed explanation of truth evaluation for classifications highlights the practical aspects of assessing the utility of remote sensing data for decision-making.

The course is designed for vocational training in information extraction from satellite data, with a focus on image classification and segmentation. It covers the fundamental concepts in remote sensing image classification, including the concepts of image and feature space, supervised and unsupervised approaches, various classification algorithms like maximum likelihood, and the crucial step of validating results using error or confusion matrices.

To be published soon