# Search result: Catalogue data in Autumn Semester 2020

Geomatic Engineering Master | ||||||

Course Units for Additional Admission Requirements The courses below are only available for MSc students with additional admission requirements. | ||||||

Number | Title | Type | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|---|

103-0132-AAL | Geodetic Metrology FundamentalsEnrolment 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. | E- | 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. | |||||

101-0414-AAL | Transport Planning (Transportation I)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. | E- | 3 credits | 6R | A. Erath Rusterholtz | |

Abstract | The lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts. | |||||

Learning objective | The course introduces the basic theories and methods of transport planning. | |||||

Content | Basic theoretical links between transport, space and economic development; basic terminology; measurement and observation of travel behaviour; methods of the four stage approach; cost-benefit analysis. | |||||

Literature | Ortuzar, J. de D. and L. Willumsen (2011) Modelling Transport, Wiley, Chichester. | |||||

103-0153-AAL | Cartography IIEnrolment 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. | E- | 6 credits | 13R | L. Hurni | |

Abstract | Theory and mathematical basics of the cartographic visualisation of attributed geo-objects for static and interactive maps (with exercises). | |||||

Learning objective | The course offers first computer graphics and mathematical basics and concepts of cartography. The accompanying exercises introduce further cartographic and GIS software, programming libraries for cartographic visualisation purposes. It is shown how web browsers, text editors and scripting languages can be used to develop efficient tools for cartographic data processing, design, and visualisation. | |||||

Content | - Cartographic workflow, data types, data capturing, data sources and legal aspects. - Introduction to QGIS, ArcGIS and OCAD for cartographic applications. - Data types: Analytical and visualisation processes in cartography. - Colour management and pre-press processes. - Web maps using HTML, CSS, JavaScript, SVG and Canvas 2D. - Interaction with diagrams and maps. - Libraries and APIs for cartographic applications. | |||||

Lecture notes | Will be distributed module by module | |||||

Literature | - References and other materials will be distributed by the supervisors. - Students are requested to contact the supervisors in advance for detailed instructions. | |||||

Prerequisites / Notice | Cartography Fundamentals or similar introduction courses in Cartography. | |||||

103-0214-AAL | Cartography Fundamentals Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 11R | L. Hurni | |

Abstract | Basic knowhow about communication with spatial information by using plans and maps, about the most important design rules and production methods for map graphics. | |||||

Learning objective | Acquire basic knowhow about communication with spatial information by using plans and maps, about the most important design rules and production methods for map graphics. Ability to assess existing products with respect to their content-related and design quality. Ability to design proper plans and well designed legends for basic maps. | |||||

Content | Definitions "map" and "cartography", map types, current tasks and situation of cartography, map history, spatial reference systems, map projections, map conception and workflow planning, map design, analogue and digital map production technology, prepress technology, printing technology, topographic maps, map critics. | |||||

Lecture notes | Will be distributed module by module. | |||||

Literature | - Field, Kenneth (2018): Cartography. ESRI Press. ISBN 978-1-58948-439-91-58948-439-8. - Terry A. Slocum, Terry et al. (2014): Thematic Cartography and Geographic Visualization. 3nd ed. Pearson Prentice Hall. ISBN 978-1-292-04067-7. - Further references and other materials will be distributed by the supervisors. - Students are requested to contact the supervisors in advance for detailed instructions. | |||||

Prerequisites / Notice | none | |||||

103-0253-AAL | Parameter EstimationAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | E. Brockmann | |

Abstract | This course provides basic knowledge on parameter estimation and data processing. The necessary mathematical and statistical methods are developed and are applied to actual examples in geomatics. | |||||

Learning objective | The students are capable of analysing measurements with with appropriate methods. They can optimally extract model parameters from real measurements and are able to analyse and to retrieve additional information from time series. They understand the underlying algorithms of different geodetic analysis tools and processing methods. | |||||

103-0254-AAL | PhotogrammetryAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 6 credits | 13R | K. Schindler | |

Abstract | The class conveys the basics of photogrammetry. Its aim is to equip students with an understanding of the principles, methods and applications of image-based measurement. | |||||

Learning objective | The aim is an understanding of the principles, methods and possible applications of photogrammetry. The course also forms the basis for more in-depth studies and self-reliant photogrammetric project work in further photogrammetry courses. | |||||

Content | The basics of photogrammetry, its products and applications: the principle of image-based measurement; digital aerial cameras and related sensors; projective geometry; mathematical modeling, calibration and orientation of cameras; photogrammetric reconstruction of points and lines, and stereoscopy; orthophoto generation; digital photogrammetric workstations; recording geometry and flight planning | |||||

Lecture notes | Photogrammetry (slides on the web) | |||||

Literature | - Kraus, K.: Photogrammetrie, Band 1: Geometrische Informationen aus Photographien und Laserscanneraufnahmen, mit Beiträgen von Peter Waldhäusl, Walter de Gruyter Verlag, Berlin, 7th edition - Kraus, K.: Photogrammetrie, Band 2: Verfeinerte Methoden und Anwendungen, mit Beiträgen von J. Jansa und H. Kager, Walter de Gruyter Verlag, Berlin, 3rd edition - Thomas Luhmann: Nahbereichsphotogrammetrie. Grundlagen, Methoden und Anwendungen, H. Wichmann Verlag, Karlsruhe, 2nd edition 2003 - Richard Hartley and Andrew Zisserman: Multiple View Geometry, Cambridge University Press; 2nd edition 2004 | |||||

Prerequisites / Notice | Requirements: knowledge of physics, linear algebra and analytical geometry, calculus, least-squares adjustment and statistics, basic programming skills. | |||||

103-0274-AAL | Image ProcessingAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 3 credits | 6R | J. D. Wegner | |

Abstract | The objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing. | |||||

Learning objective | Understanding core methods and algorithms in image processing and computer vision and the underlying signal processing foundations. Applying image processing algorithms to relevant problems in photogrammetry and remote sensing. | |||||

Content | - Image segmentation The following topics will be covered in the course: - Properties of digital images - Signal processing/Sampling - Image enhancement - Image restoration: Spatial domain - Image restoration: Fourier domain - Color/Demosaicing - Image compression - Feature extraction - Texture analysis | |||||

Lecture notes | A script will be provided as PDF files on the lecture website. | |||||

Literature | We suggest the following textbooks for further reading: Rafael C. Gonzalez, Richard E. Woods Digital Image Processing Prentice Hall International, 2008 ISBN: 013168728X Rafael C. Gonzalez, Steven L. Eddins, Richard E. Woods: Digital Image Processing Using MATLAB Prentice Hall, 2003 ISBN: 0130085197 | |||||

Prerequisites / Notice | The course is accompanied by programming assignments, that need to be completed in order to pass the semester performance. | |||||

103-0313-AAL | Spatial Planning and Landscape DevelopmentAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 11R | S.‑E. Rabe | |

Abstract | The lecture introduces into the main-features of spatial planning. Attended will be the subjects of planning as a national responsibility, instruments of spatial planning, techniques for problem solving in spatial planning and the Swiss concept for regional planning. | |||||

Learning objective | - To get to know the interaction between the community and our living space and their resulting conflicts. - Link theory and practice in spatial planning. - To get to know instruments and facilities to process problems in spatial planning. | |||||

103-0325-AAL | Integrated Spatial Planning in Cities and DistrictsAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 6 credits | 13R | G. Di Carlo Alvarez | |

Abstract | The lecture imparts methodological and instrumental fundamentals for spatial planning and will be exemplified by exploring two Zurich city quarters. | |||||

Learning objective | Spatial planning is concerned with the foresighted design of the built and un-built environment. Starting points are spatially relevant problems that need to be explored, clarified and solved. The cornerstone of the course is formed by an independent exploration by the student of two Zurich city quarters that involves investigating specific spatially relevant conditions, recognizing regularities and relevant problems. | |||||

Content | The self-study course compromises the following readings: Chapters of: - Lynch, Kevin: «The Image of the City», - Alexander, Christopher et al.: «A Pattern Language», - Mikoleit, Anne and Pürckhauer, Moritz: «Urban Code», and - «SIDAIA - Spatial and Infrastructure Development: An Integrated Approach». The graded semester performance comprises a condensed paper to be written by the student reflecting both the literature read as well as exemplarily applying the knowledge gained from the literature by independently exploring the two city quarters. | |||||

Lecture notes | cf. content | |||||

Literature | cf. content | |||||

252-0846-AAL | Computer Science II Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | F. Friedrich Wicker | |

Abstract | Together with the introductory course Informatics I this course provides the foundations of programming. This course particularly covers algorithms and data structures. Programming languages used in this course are Java and Python. | |||||

Learning objective | Basing on the knowledge covered by lecture Informatics I, the primary educational objectives of this course are constructive knowledge of data structures and algorithms. When successfully attended the course, students have a good command of the mechanisms to construct an object oriented program. They know the typically used control and data structures and understand how an algorithmic problem is mapped to a sufficiently efficient computer program. Secondary goals are an algorithmic computational thinking, undestanding the possibilities and limits of programming and to impart the way of thinking of a computer scientist. | |||||

Content | We discuss typical data structures and algorithms. More generally, formal thinking and the need for abstraction and importance of appropriate modeling capabilities will be motivated. Concrete topics are complexity of algorithms, divide and conquer-principles, recursion, sort- and search-algorithms, elementary dynamic data structures, algorithms on graphs. The concepts of the lectures will be motivated with applications. The programming languages used in the lectures and the practical exercises are Java and Python. For the exercises an online-compiler and online-submission system is used. | |||||

Lecture notes | The slides are available for download on the course home page of the physical course 252-0846-00L. | |||||

Literature | T. Cormen, C. Leiserson, R. Rivest, C. Stein, Introduction to Algorithms , 3rd ed., MIT Press, 2009 | |||||

Prerequisites / Notice | Prerequisites are knowledge and programming experience according to course 252-0845-00 Computer Science I (D-BAUG). Please note that this is a self study (virtual) course, which implies that in the autumn semester there are no physical lectures or exercise sessions offered. If you want to attend the real course, please go to 252-0846-00L in the spring semester. | |||||

406-0141-AAL | Linear AlgebraAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 11R | M. Akka Ginosar | |

Abstract | Introduction to Linear Algebra and Numerical Analysis for Engineers. This reading course is based on chapters from the book "Introduction to Linear Algebra" by Gilbert Strang (SIAM 2009), and "A first Course in Numerical Methods" by U. Ascher and C. Greif (SIAM, 2011). | |||||

Learning objective | To acquire basic knowledge of Linear Algebra and some aspects of related numerical metjhods and the ability to apply basic algorithms to simple problems. | |||||

Content | 1 Introduction, calculations using MATLAB 2 Linear systems I 3 Linear systems II 4 Scalar- & vektorproduct 5 Basics of matrix algebra 6 Linear maps 7 Orthogonal maps 8 Trace & determinant 9 General vectorspaces 10 Metric & scalarproducts 11 Basis, basistransform & similar matrices 12 Eigenvalues & eigenvectors 13 Spectral theorem & diagonalisation 14 Repetition | |||||

Literature | Gilbert Strang, Introduction to Linear Algebra, 4th ed., SIAM & Wellesley-Cambridge Press, 2009. U. Ascher and C. Greif, A first Course in Numerical Methods", SIAM, 2011. | |||||

Prerequisites / Notice | Knowledge of elementary calculus | |||||

406-0242-AAL | Analysis IIAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 7 credits | 15R | M. Akveld | |

Abstract | Mathematical tools of an engineer | |||||

Learning objective | Mathematics as a tool to solve engineering problems, mathematical formulation of problems in science and engineering. Basic mathematical knowledge of an engineers. | |||||

Content | Multi variable calculus: gradient, directional derivative, chain rule, Taylor expansion, Lagrange multipliers. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, divergence theorem, applications in physics. Ordinary differential equations. | |||||

Literature | Textbooks in English: - J. Stewart: Multivariable Calculus, Thomson Brooks/Cole - V. I. Smirnov: A course of higher mathematics. Vol. II. Advanced calculus - W. L. Briggs, L. Cochran: Calculus: Early Transcendentals: International Edition, Pearson Education - M. Akveld, R. Sperb, Analysis II, vdf - L. Papula: Mathematik für Ingenieure 2, Vieweg Verlag | |||||

406-0243-AAL | Analysis I and IIAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 14 credits | 30R | M. Akveld | |

Abstract | Mathematical tools for the engineer | |||||

Learning objective | Mathematics as a tool to solve engineering problems. Mathematical formulation of technical and scientific problems. Basic mathematical knowledge for engineers. | |||||

Content | Complex numbers. Calculus for functions of one variable with applications. Simple Mathematical models in engineering. Multi variable calculus: gradient, directional derivative, chain rule, Taylor expansion, Lagrange multipliers. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, divergence theorem, applications in physics. Ordinary differential equations. | |||||

Literature | Textbooks in English: - J. Stewart: Calculus, Cengage Learning, 2009, ISBN 978-0-538-73365-6. - J. Stewart: Multivariable Calculus, Thomson Brooks/Cole. - V. I. Smirnov: A course of higher mathematics. Vol. II. Advanced calculus. - W. L. Briggs, L. Cochran: Calculus: Early Transcendentals: International Edition, Pearson Education. ISBN 978-0-321-65193-8. Textbooks in German: - M. Akveld, R. Sperb: Analysis I, vdf - M. Akveld, R. Sperb: Analysis II, vdf - L. Papula: Mathematik für Ingenieure und Naturwissenschaftler, Vieweg Verlag - L. Papula: Mathematik für Ingenieure 2, Vieweg Verlag | |||||

406-0603-AAL | Stochastics (Probability and Statistics)Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | M. Kalisch | |

Abstract | Introduction to basic methods and fundamental concepts of statistics and probability theory for non-mathematicians. The concepts are presented on the basis of some descriptive examples. Learning the statistical program R for applying the acquired concepts will be a central theme. | |||||

Learning objective | The objective of this course is to build a solid fundament in probability and statistics. The student should understand some fundamental concepts and be able to apply these concepts to applications in the real world. Furthermore, the student should have a basic knowledge of the statistical programming language "R". | |||||

Content | From "Statistics for research" (online) Ch 1: The Role of Statistics Ch 2: Populations, Samples, and Probability Distributions Ch 3: Binomial Distributions Ch 6: Sampling Distribution of Averages Ch 7: Normal Distributions Ch 8: Student's t Distribution Ch 9: Distributions of Two Variables From "Introductory Statistics with R (online)" Ch 1: Basics Ch 2: The R Environment Ch 3: Probability and distributions Ch 4: Descriptive statistics and tables Ch 5: One- and two-sample tests Ch 6: Regression and correlation | |||||

Literature | - "Statistics for research" by S. Dowdy et. al. (3rd edition); Print ISBN: 9780471267355; Online ISBN: 9780471477433; DOI: 10.1002/0471477435 From within the ETH, this book is freely available online under: http://onlinelibrary.wiley.com/book/10.1002/0471477435 - "Introductory Statistics with R" by Peter Dalgaard; ISBN 978-0-387-79053-4; DOI: 10.1007/978-0-387-79054-1 From within the ETH, this book is freely available online under: http://www.springerlink.com/content/m17578/ | |||||

103-0357-AAL | Environmental PlanningAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 3 credits | 6R | S.‑E. Rabe | |

Abstract | The lecture covers tools, methods and procedures of Landscape and Environmental Planning developed. By means of field trips their implementation will be illustrated. | |||||

Learning objective | Knowledge of the various instruments and possibilities for the practical implementation of environmental planning. Knowledge of the complex interactions of the instruments. | |||||

Content | Topics of the Lectures - forest planning - inventories - intervention and compensation - ecological network - agricultural policy - landscape development concepts (LEK) - parks - swiss landscape concept - riverine zone - natural hazards Note: there are several non-obligatory field trips as part of the lecture. It is recommended to participate at these to boost the in-depth understanding of the different topics. | |||||

Lecture notes | - lecture notes concerning the instruments - handouts - copies of selected literature Download: http://www.plus.ethz.ch/de/studium/vorlesungen/bsc/environmental_planning.html | |||||

406-0062-AAL | Physics IAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 11R | A. Vaterlaus | |

Abstract | Introduction to the concepts and tools in physics: mechanics of point-like and rigid bodies, elasticity theory, elements of hydrostatics and hydrodynamics, periodic motion and mechanical waves. | |||||

Learning objective | Introduction to the scientific methodology. The student should develop his/her capability to turn physical observations into mathematical models, and to solve the latter. The student should acquire an overview over the basic concepts in mechanics. | |||||

Content | Book: Physics for Scientists and Engineers, Douglas C. Giancoli, Pearson Education (2009), ISBN: 978-0-13-157849-4 Chapters: 1, 2, 3, 4, 5, 6 (without: 6-5, 6-6, 6-8), 7, 8 (without 8-9), 9, 10 (without 10-10), 11 (without 11-7), 13 (without 13-13, 13-14), 14 (without 14-6), 15 (without 15-3, 15-5) | |||||

Literature | see "Content" Friedhelm Kuypers Physik für Ingenieure und Naturwissenschaftler Band 1: Mechanik und Thermodynamik Wiley-VCH Verlag, 2002, 544 S, ca.: Fr. 68.- | |||||

406-0063-AAL | Physics IIAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 11R | A. Vaterlaus | |

Abstract | Introduction to the "way of thinking" and the methodology in Physics. The Chapters treated are Magnetism, Refraction and Diffraction of Waves, Elements of Quantum Mechanics with applications to Spectroscopy, Thermodynamics, Phase Transitions, Transport Phenomena. | |||||

Learning objective | Introduction to the scientific methodology. The student should develop his/her capability to turn physical observations into mathematical models, and to solve the latter. The student should acquire an overview over the basic concepts used in the theory of heat and electricity. | |||||

Content | Book: Physics for Scientists and Engineers, Douglas C. Giancoli, Pearson Education (2009), ISBN: 978-0-13-157849-4 Chapters: 17 (without 17-5, 17-10), 18 (without 18-5, 18-6, 18-7), 19, 20 (without 20-7, 20-8, 20-9, 20-10, 20-11), 21 (without 21-12), 23, 25 (without 25-9, 25-10), 26 (without 26-4, 26-5, 26-7), 27, 28 (without 28-4, 28-5, 28-8. 28-9, 28-10), 29 (without 29-5, 29-8), 32 (without 32-8), 33 (without 33-4, 33-5, 33-9, 33-10), 34 (without 34-4, 34-6, 34-7), 35 (without 35-2, 35-3, 35-9, 35-11, 35-12, 35-13). | |||||

Literature | see "Content" Friedhelm Kuypers Physik für Ingenieure und Naturwissenschaftler Band 2 Elektrizität, Optik, Wellen Verlag Wiley-VCH, 2003, Fr. 77.- | |||||

252-0856-AAL | Computer Science Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | F. Friedrich Wicker, M. Schwerhoff | |

Abstract | Die Vorlesung bietet eine Einführung in das Programmieren mit einem Fokus auf systematischem algorithmischem Problemlösen. Lehrsprache ist C++. Es wird keine Programmiererfahrung vorausgesetzt. | |||||

Learning objective | Primäres Lernziel der Vorlesung ist die Befähigung zum Programmieren mit C++. Studenten beherrschen nach erfolgreichem Abschluss der Vorlesung die Mechanismen zum Erstellen eines Programms, sie kennen die fundamentalen Kontrollstrukturen, Datenstrukturen und verstehen, wie man ein algorithmisches Problem in ein Programm abbildet. Sie haben eine Vorstellung davon, was "hinter den Kulissen" passiert, wenn ein Programm übersetzt und ausgeführt wird. Sekundäre Lernziele der Vorlesung sind das Computer-basierte, algorithmische Denken, Verständnis der Möglichkeiten und der Grenzen der Programmierung und die Vermittlung der Denkart eines Computerwissenschaftlers. | |||||

Content | Wir behandeln fundamentale Datentypen, Ausdrücke und Anweisungen, (Grenzen der) Computerarithmetik, Kontrollanweisungen, Funktionen, Felder, zusammengesetze Strukturen und Zeiger. Im Teil zur Objektorientierung werden Klassen, Vererbung und Polymorhpie behandelt, es werden exemplarisch einfache dynamische Datentypen eingeführt. Die Konzepte der Vorlesung werden jeweils durch Algorithmen und Anwendungen motiviert und illustriert. | |||||

Lecture notes | Ein Skript in englischer Sprache wird semesterbegleitend herausgegeben. Das Skript und die Folien werden auf der Vorlesungshomepage zum Herunterladen bereitgestellt. | |||||

Literature | Bjarne Stroustrup: Einführung in die Programmierung mit C++, Pearson Studium, 2010 Stephen Prata: C++ Primer Plus, Sixth Edition, Addison Wesley, 2012 Andrew Koenig and Barbara E. Moo: Accelerated C++, Addison-Wesley, 2000. | |||||

103-2233-AAL | GIS BasicsAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 6 credits | 13R | M. Raubal | |

Abstract | Fundamentals in geoinformation technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software. | |||||

Learning objective | Know the fundamentals in geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects. | |||||

Content | Modelling of spatial information Geometric and semantic models Topology & metrics Raster and vector models Databases Applications Labs with GIS software | |||||

Literature | Worboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd ed.). Boca Raton, FL: CRC Press. O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (second ed.). Hoboken, New Jersey: Wiley. | |||||

103-0187-AAL | Satellite GeodesyAny other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 3R | M. Rothacher | |

Abstract | Reference systems, reference frames and coordinate transformations. Earth rotation. Geodetic space techniques GNSS, VLBI, SLR, DORIS and altimetry. Gravitation and gravity field. Satellite orbit computation. Gravity field satellite missions. | |||||

Learning objective | - Confidence in the handling of coordinate systems, reference systems and frames and time systems - Mastering of the calculation of ephemerides for unperturbed satellite orbits - Solid understanding of the space geodetic techniques and their strengths and weaknesses - Knowledge of the major processes causing changes in the three pillars of space geodesy (geometry, Earth rotation and Earth's gravity field) - Knowledge of existing and potential applications of the space geodetic techniques for interdisciplinary tasks (System Earth) | |||||

Content | - Celestial and terrestrial reference systems and frames, time systems - Earth rotation as the transformation between celestial and terrestrial reference systems with precession, nutation, sidereal time and polar motion, - Transformation between Cartesian and ellipsoidal coordinates - Space geodetic observation techniques: GNSS, VLBI, SLR, DORIS and altimetry - Gravitational field and gravity field of the Earth, geometry of the gravity field - Computation of unperturbed satellite orbits - Determination of the Earth gravity field with satellite missions | |||||

Lecture notes | Skript M. Rothacher "Satellitengeodäsie" |

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