Universität Wien

290043 UE Remote Sensing in Physical Geography (2018W)

4.00 ECTS (3.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

The course will be offered in English.
Students should have profound knowledge of GIS and have completed succesfully the following seminars or equivalent lectures:
- Applied Geoinformatics
- Methods of GIS-based Data Acquisition
Due to software limitations students need to bring their own laptops to class on the 25th of October.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes

Tuesday, 8:00-10:30, MM-Lab 1st floor, NIG
Start: 02.10.2018


Information

Aims, contents and method of the course

The students will actively elaborate some of the key principles of remote sensing. They will learn how to pre-process remotely sensed data in order to make them ready for analysis. The will further be guided through practical exercises using various GIS software packages, deriving variables from different types of remotely sensed data (e.g. satellite scenes, aerial imagery, terrestrial laser scans), and map environmental changes, such as river patterns or land use changes. Finally, they will quantify processes with the respective data and generate thematic maps.

Assessment and permitted materials

- 4 homework exercises (15% of the grade each - 3 points, in total 12 points)
- 1 final exercise at the end of the course (20% of the grade - 4 points)
- Active participation during the lessons (20% of the grade - 4 points)

Minimum requirements and assessment criteria

Students need to be present during at least 80% of the lessons.
Grading scheme:
20.0-18.0 points: 1
17.5-15.5 points: 2
15.0-13.0 points: 3
12.5-10.5 points: 4
10.0-00.0 points: 5

Examination topics

To be announced during the course and through e-learning

Reading list

To be announced during the course and through e-learning

Association in the course directory

(MG-S1-PI.m, Block A) (MG-S2-PI.m, Block A)

Last modified: Mo 01.10.2018 17:08