103-0250-00L Geospatial Data Acquisition
Semester | Autumn Semester 2022 |
Lecturers | A. Wieser |
Periodicity | yearly recurring course |
Language of instruction | English |
Abstract | This course supports the students in acquiring an in-depth understanding of sensors, sensor systems and sensor networks for the acquisition of geospatial data. Emphasis is put on the prediction and assurance of data quality based on an understanding of key sensing principles, external influences, and data acquisition processes. |
Learning objective | After this cours, the students should be able to describe main sensing principles for time, distance, angle, position, attitude, motion, temperature, optical imaging and spectrum; describe main performance criteria of sensors and sensor systems for static and dynamic geospatial applications; control s ensors for geospatial data acquisition using a computer and self-written programs; predict the performance of sensors and sensor systems based on information from data sheets and documentation of sensor system architecture; assess the performance of sensors and sensor systems experimentally. |