Search result: Catalogue data in Spring Semester 2020

Geomatic Engineering Master Information
Major Courses
Major in Engineering Geodesy and Photogrammetry
NumberTitleTypeECTSHoursLecturers
103-0738-00LGNSS LabW5 credits4GR. Hohensinn, G. Möller
AbstractConsolidation of knowledge in satellite geodesy and its application to GNSS.
ObjectiveStudents know the technological background of GNSS. They are able to interpret and to qualify GNSS results and to carry out error estimations. Autonomous work on GNSS-related problems.
ContentAutonomous development, planning, and carrying out of a small GNSS-project. As needed further satellite geodetic background will be given ( GNSS-positioning and navigation, satellite orbits, consolidated knowledge of GNSS, observation equations, principles of measurements, disturbances, practical operation)
Lecture notesNavigation, Alain Geiger, GGL-ETHZ
GNSS, Markus Rothacher, GGL-ETHZ
103-0838-00LGeomonitoring and GeosensorsW4 credits3GA. Wieser, M. Rothacher
AbstractThis course provides an introduction to sensors, measurement techniques and analysis methods for geodetic monitoring of natural structures of local to regional scale like landslides, rock falls, volcanoes and tsunamis. Several case studies will highlight the application of the presented technologies.
ObjectiveUnderstanding the core challenges and proven approaches to monitoring of local and regional deformation; gaining an overview of established measurement and data processing techniques for monitoring geometric changes.
ContentIntroduction to geomonitoring; sensors and measurement technologies: GNSS, TPS, TLS, GB-SAR, geosensor networks, geotechnical monitoring sensors; areal and point-wise deformation monitoring; congruency tests, network deformation analysis, sensitivity, regression and jump detection; estimation of strain tensor, block analysis; case studies.
Lecture notesThe lecture slides and further literature will be made available on the course webpage.
Prerequisites / NoticeStudents should be familiar with geodetic networks, parameter estimation, GNSS and Engineering Geodesy. Students who have not taken the related courses of the ETH curriculum (or equivalent courses at another university) but want to take this course should contact the lecturers beforehand.
103-0128-00LRemote Sensing Lab Restricted registration - show details W4 credits2GE. Baltsavias
AbstractThis course focuses mainly on photogrammetric processing and classification of optical and especially multispectral satellite images with practical work and own programming.
ObjectiveThe aims of this course are:
- the main aim is practical photogrammetric processing and classification of optical and especially multispectral satellite images using mostly own programming in MATLAB and less commercial software tools.
- some theoretical background will be provided, in addition to other ETHZ courses mentioned below (mainly given in Bachelor).
- further developing skills in report writing and presentations.
ContentThe lecture builds on the courses Erdbeobachtung (Earth Observation), Photogrammetrie, Photogrammetrie II, Image Interpretation and Bildverarbeitung (Image Processing). The focus is on practical work and use of programs with optical satellite data.

The work is composed of two large labs. In the first, the main photogrammetric processing chain from preprocessing to visualisation is treated. In the second, the focus is on various multispectral classification techniques and their comparison.
Lecture notesTeaching material will be made available on the dedicated moodle page.
Prerequisites / NoticePersons without sufficient knowledge of remote sensing, photogrammetry and image processing, should first contact the lecturer and get permission to attend the course. Students should preferably have a basic knowledge of MATLAB programming or being willing to acquire it through self-study.
103-0848-00LIndustrial Metrology and Machine Vision Restricted registration - show details
Number of participants limited to 30.
W4 credits3GK. Schindler, A. Wieser
AbstractThis course introduces contact and non-contact techniques for 3D coordinate, shape and motion determination as used for 3D inspection, dimensional control, reverse engineering, motion capture and similar industrial applications.
ObjectiveUnderstanding the physical basis of photographic sensors and imaging; familiarization with a broader view of image-based 3D geometry estimation beyond the classical photogrammetric approach; understanding the concepts of measurement traceability and uncertainty; acquiring an overview of general 3D image metrology including contact and non-contact techniques (coordinate measurement machines; optical tooling; laser-based high-precision instruments).
ContentCCD and CMOS technology; structured light and active stereo; shading models, shape from shading and photometric stereo; shape from focus; laser interferometry, laser tracker, laser radar; contact and non-contact coordinate measurement machines; optical tooling; measurement traceability, measurement uncertainty, calibration of measurement systems; 3d surface representations; case studies.
Lecture notesLecture slides and further literature will be made available on the course webpage.
103-0767-00LEngineering Geodesy LabW4 credits3PA. Wieser, V. Frangez, Z. Gojcic
AbstractDevelopment of concepts and solutions for challenging tasks in Engineering Geodesy using real-world examples
ObjectiveThe students learn to develop, assess and realize concepts and solutions for real-world problems in Engineering Geodesy. They advance the knowledge and skills which they have acquired in relation with geodetic metrology, engineering geodesy. They establish links between these subjects. Particular attention is paid to the selection of appropriate sensors and measurement systems, selection of appropriate measurement and data processing methods, end-to-end quality control, fulfillment of non-technical criteria, and to the documentation of the work.
ContentA geodetic network for highly precise coordinate and direction transfer from outside pillars to pillars in the geodetic metrology lab of the Institute of Geodesy and Photogrammetry will be designed and planned. Different methods for plumbing, height transfer and azimuth determination will be included. The measurements will be carried out and post-processed in teams. Finally, the network design, the observation schedule and the results will be critically evaluated.
Lecture notesPublications and documents are made available as needed depending on the selected tasks.
Literature- Möser, M. et al. (2000): Handbuch Ingenieurgeodäsie, Grundlagen. Wichmann, Heidelberg.
- Heunecke et al. (2013): Handbuch Ingenieurgeodäsie, Auswertung geodätischer Überwachungsmessungen. 2. Aufl., Wichmann, Heidelberg.
- Schofield, W. and Breach, M. (2007): Engineering Surveying. 6th Edition, CRC, Boca Raton, USA.
- Caspary, W.F. (2000): Concepts of Network and Deformation Analysis. School of Geomatic Engineering, The University of New South Wales, Sydney, Australia.
Prerequisites / NoticeSuccessful participation in the lab requires knowledge and experiences conveyed within the related course "Engineering Geodesy". Students who have not already passed that course and who are not participating in that course will only be admitted to the lab after discussion with the instructors.

If the timetable of the participants allows it, the 3-hourly lab units will partially be combined to individual full-time units.
052-0524-00L360° - Reality to Virtuality (FS) Information Restricted registration - show details W2 credits2GK. Sander
AbstractBasics of 3D-scanning of rooms and bodies, individual scan projects, 3D-visualizations and animations. Definition and realization of a project, working alone and in groups.
ObjectiveUnderstanding 3D-technologies, handling positive and negative spaces, handling hardware and software, processing 3D point clouds (registering scans, filtering, merging of data sets, precision, visualizations, animation), interpretation of the generated data.
Content1. Introduction to 3D laser scanning (getting to know technologies, methods and context; carry out practical tests)
2. Project development within the group (idea, concept, target, intention, selection of methods & strategies)
3. Project implementation within the group (possible results, videos, pictures, prints, publications, web, blog, forum etc.)
4. Project presentation (exhibition incl. critiques, discussions)
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