Gregor Möller: Catalogue data in Autumn Semester 2020 |
Name | Dr. Gregor Möller |
Address | I. f. Geodäsie u. Photogrammetrie ETH Zürich, HPV G 58.1 Robert-Gnehm-Weg 15 8093 Zürich SWITZERLAND |
Telephone | +41 44 633 34 95 |
gmoeller@ethz.ch | |
Department | Civil, Environmental and Geomatic Engineering |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
103-0627-00L | Space Geodesy Lab | 5 credits | 3P | G. Möller, R. Hohensinn, M. Rothacher, B. Soja | |
Abstract | Space Geodesy Lab allows you to deepen your knowledge about space-geodetic techniques, in particular of GNSS, VLBI, SLR, satellite altimetry and gravity missions for monitoring the environment and changes within the Earth system. | ||||
Learning objective | Students enrolled in this course will be given the possibility to learn about space-geodetic methods to solve a specific research problem. As a result, you will become familiar with the entire processing chain from gathering of raw measurements to geodetic products like reference frames, station motions, Earth orientation parameters, atmospheric and climate variables, or the Earth gravity field and its variations. | ||||
Content | For a small project based on space geodetic measurements and methods (or a related project of your choice), you or a group of 2-3 students will be provided with the necessary equipment, access to data and analysis tools for solving your research question. Therefore, we expect autonomous development, planning, data analysis and interpretation of the results. At the end of the semester you will be ask to present your findings and to submit a report summarizing your semester activities. As needed, further background will be given during the semester. | ||||
Lecture notes | div. sources | ||||
Literature | M. Rothacher – Space Geodesy lecture notes, additional literature will be distributed during lectures | ||||
Prerequisites / Notice | Basic knowledge about satellite geodesy, reference frames and the Earth gravity field. Programming skills in Matlab, Python or similar. |