LFU:online

By the end of the course, students should be able to:

1.  understand the fundamental concepts of a GIS including spatial data models, spatial analysis, and cartographic principles

2.  manipulate and manage large spatial datasets adequately

3.  apply state of the art GIS software packages on environmental datasets

4.  have an insight into remote sensing concepts and techniques for environmental purposes

5.  understand the information content of remotely sensed data and know

how to retrieve information from it

6.  analyze and critically question methods and results

The course will be divided into two parts. In the lecture part, concepts and components of geographic information systems (GIS) will be discussed as well as the principles of remote sensing (RS) for earth observation purposes. Furthermore, all essential skills for spatial data handling, analysis and image interpretation needed in landscape ecology will be covered.

In the practical part, students will deepen their knowledge by applying

GIS and remote sensing techniques on spatial datasets.

In the lecture part, the topics are presented by the lecturer while the practical parts are dedicated to the students’ involvement and will be based on a hands-on approach. Generally, Power Point presentations will be available in the course reserve collection database of the Faculty. Additional material will eventually be provided by the lecturer.

Course work will be weighted as follows: final written/practical exam (70%), student assignments (30%).

• Lloyd, C. (2010): Spatial data analyses. An introduction for GIS users. Oxford University Press.
• Lang, S.; Blaschke, T. (2007): Landschaftsanalyse mit GIS. Utb; Ulmer.
• George, J. (2005): Fundamentals of Remote Sensing. Universities press.
• Campbell, J. B. (2011): Introduction to Remote Sensing. The Guilford press.