The student is able to:
- explain how to generate information about the Earth from satellite images and other spatial data;
- apply image processing techniques to retrieve object based information;
- apply data processing techniques at a proper scale in time and space;
- apply earth observation techniques for mapping and monitoring in applications such as flooding, food security and drought;
- explain how individual observations can be integrated, combined and processed to understand global events;
- explain how to retrieve large scale geometric information from airborne/mobile sensors;
- understand how (3D) maps can be used to efficiently pass a specific message.
Sensors can be mounted on Earth orbiting satellites, aircrafts, but can also be mounted on a car or even hand-held. Sensors measure electro-energetic emissions from objects and material on the earth’s surface. Data processing techniques subsequently transform raw data into meaningful information sources for a large variety of applications.|
This module consist of three stages: the first efficiently supplies basic knowledge to the corresponding theme, the second applies the knowledge in relevant, and the third integrates the acquired knowledge in a project framework. Currently, we aim at proposing at least two projects from which the participants can choose one. In a team of 5-10 persons, the participants will design and analyse methods and solutions (according to the principles of the Twents Onderwijsmodel TOM).