Remote Sensing in Hydrology
| Vortragende/r (Mitwirkende/r) | |
|---|---|
| Nummer | 0000000529 |
| Art | Vorlesung |
| Umfang | 4 SWS |
| Semester | Sommersemester 2026 |
| Unterrichtssprache | English |
| Stellung in Studienplänen | Siehe TUMonline |
| Termine | Siehe TUMonline |
Termine
Teilnahmekriterien
Siehe TUMonline
Anmerkung: This course is for Master students.
Anmerkung: This course is for Master students.
Beschreibung
SEE ENGLISH VERSION, please
Inhaltliche Voraussetzungen
Basics of hydrology, hydrological modelling and GIS.
Basics of GIS software ArcGIS or QGIS.
Basics of programming in Matlab and/or Python.
Ability to literature review and critical thinking of scientific journal papers.
Basics of GIS software ArcGIS or QGIS.
Basics of programming in Matlab and/or Python.
Ability to literature review and critical thinking of scientific journal papers.
Lehr- und Lernmethoden
Lecture (talk, presentation, group work): The lecture provides the fundamentals of hydrology and remote sensing, mathematical remote sensing calculation methods and data formats for various hydrological components (e.g. precipitation, evaporation, water level), and applications of remote sensing in practical hydrological studies.
Exercises (talk, presentation, individual and group work, case study): Hands-on exercises will be given in the computer lab. A detailed investigation of single hydrological components as it is done in the lecture will be achieved through the practical processing of the satellite products. The application of software and programing and the data evaluation will be taught in more details.
During the exercises the students learn the satellite data processing in a more practical hands-on manner. The students are expected to learn how to download and process the satellite data. The processing procedures in ArcGIS and some programming in Matlab and Python will also be taught during the exercises. Students will receive support by student tutors and the lecturing tutor. During the exercise, some small exercises will be assigned but they will be voluntary and used only for students’ self-assessment. In the end, a voluntary report can be also handed in: students can form a group with 2 or maximum 4 members to select a topic (e.g. precipitation, water level) to write a report with an approx. 20 pages.
The lectures and exercises in computer lab will be closely linked to achieve the study goals.
Exercises (talk, presentation, individual and group work, case study): Hands-on exercises will be given in the computer lab. A detailed investigation of single hydrological components as it is done in the lecture will be achieved through the practical processing of the satellite products. The application of software and programing and the data evaluation will be taught in more details.
During the exercises the students learn the satellite data processing in a more practical hands-on manner. The students are expected to learn how to download and process the satellite data. The processing procedures in ArcGIS and some programming in Matlab and Python will also be taught during the exercises. Students will receive support by student tutors and the lecturing tutor. During the exercise, some small exercises will be assigned but they will be voluntary and used only for students’ self-assessment. In the end, a voluntary report can be also handed in: students can form a group with 2 or maximum 4 members to select a topic (e.g. precipitation, water level) to write a report with an approx. 20 pages.
The lectures and exercises in computer lab will be closely linked to achieve the study goals.