Andreas Wieser: Catalogue data in Autumn Semester 2023 |
| Name | Prof. Dr. Andreas Wieser |
| Field | Geosensorics and Engineering Geodesy |
| Address | Geosensorik und Ingenieurgeodäsie ETH Zürich, HIL D 47.2 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 05 55 |
| andreas.wieser@geod.baug.ethz.ch | |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |||||||||||||||||||||||
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| 103-0115-01L | Geodetic Measuring Technology and Laserscanning | 6 credits | 4G | A. Wieser, N. Meyer | |||||||||||||||||||||||
| Abstract | Advanced topics in geodetic metrology with focus on approaches to 3d modelling of local real world environments with higher accuracy. | ||||||||||||||||||||||||||
| Learning objective | By the end of this course, the students are able to create digital 3d models of the real world covering areas with an extension up to several 100 m with accuracies in the mm- to cm-level range. They can select the appropriate geodetic instruments or terrestrial laser scanners, plan and carry out the required working steps, test the equipment before use, and describe the quality of the results. They know a broad spectrum of visualization options and can assess their respective suitability for various application cases. | ||||||||||||||||||||||||||
| Content | - Overview: 3D Modelling from planning of data acquisition to visualization of the results - Modern geodetic instruments - Atmospheric effects - Measurement techniques for high accuracy - Introduction to terrestrial laser scanning - Test and calibration of measurement instruments - Point cloud processing: preprocessing, registration & georeferencing - 3d modelling and visualization of objects, VR/AR/MR | ||||||||||||||||||||||||||
| Lecture notes | The slides and documents for enhanced study and further reading will be provided online. | ||||||||||||||||||||||||||
| Literature | Witte B, Sparla P (2015) Vermessungskunde und Grundlagen der Statistik für das Bauwesen. 8. Aufl., Wichmann Verlag. Shan J, Toth C (ed) (2018) Topographic Laser Ranging and Scanning: Principles and Processing. 2nd ed. CRC Press. | ||||||||||||||||||||||||||
| Prerequisites / Notice | The course is carried out in German. Basic knowledge of geodetic metrology is required as a prerequisite, corresponding to the learning objectives and content of the course Geodätische Messtechnik GZ. Besides lectures and data processing, the course also comprises extensive practical exercises in the field. | ||||||||||||||||||||||||||
Competencies |
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| 103-0132-AAL | Geodetic Metrology Fundamentals Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | 6 credits | 13R | A. Wieser | |||||||||||||||||||||||
| Abstract | Introduction to the most important sensors, operation and calculation methods of Geodetic Metrology | ||||||||||||||||||||||||||
| Learning objective | Getting to know the most important sensors, operation and calculation methods of Geodetic Metrology | ||||||||||||||||||||||||||
| Content | Overview on the different domains of geodetic metrology Geodetic instruments and sensors Determination of 3D-coordinates with GNSS, total sttaion and levelling Calculation methods of geodetic metrology Survey and staking-out methods | ||||||||||||||||||||||||||
| Lecture notes | Slides and additional material used in the associated regular course Geodätische Messtechnik GZ (in German) are provided in electronic form. | ||||||||||||||||||||||||||
| Literature | Uren J, Price B (2010) Surveying for Engineers. 5th ed., Palgrave Macmillan. | ||||||||||||||||||||||||||
| Prerequisites / Notice | The field course is part of this lecture. Practical exercises complete the subjects taught during the semester. If evidence of equivalent practical experience in surveying cannot be provided by the student, participation in the field course during the respective next available period (i.e. 1 week in the beginning of the summer holidays) is required. | ||||||||||||||||||||||||||
| 103-0249-00L | Geospatial Reference Systems | 4 credits | 4G | A. Wieser, M. Varga | |||||||||||||||||||||||
| Abstract | This course is an advanced introduction to spatial and temporal reference systems for acquisition, analysis and communication of geospatial data. The course covers definitions, conventions and comprehensive real world examples of coordinate reference systems, time reference systems, their respective practical realization, and operations for changing data between them. | ||||||||||||||||||||||||||
| Learning objective | After this course the students should be able to describe the most important established national and international spatial and temporal reference systems; describe the techniques, processes, and institutions needed to establish and maintain reference frames; select appropriate reference systems and frames for specific geospatial modeling/analysis tasks; carry out coordinate transformations, conversions, and time operations on geospatial data, taking into account and quantifying the uncertainties; combine geospatial data originally referring to different reference frames into a single reference frame. | ||||||||||||||||||||||||||
| Prerequisites / Notice | The course requires familiarity with linear algebra and analysis at the level of a BSc program in engineering or natural sciences. | ||||||||||||||||||||||||||
| Competencies |
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| 103-0250-00L | Geospatial Data Acquisition | 4 credits | 4G | A. Wieser | |||||||||||||||||||||||
| 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. | ||||||||||||||||||||||||||
| Prerequisites / Notice | The course requires familiarity with linear algebra and analysis at the level of a BSc program in engineering or natural sciences. | ||||||||||||||||||||||||||
| Competencies |
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