Course information

Responsible Instructor
Name E-mail
Dr. S.C. Steele-Dunne
Contact Hours / Week x/x/x/x
Education Period
Start Education
Exam Period
Different, to be announced
Course Language
Course Contents
This course discusses Geographical Information Systems (GIS) and remote sensing in water resources. The course is designed to allow students to gain hands-on experience by applying GIS (QGIS and GRASS) and remote sensing data for different applications in water resources.

In addition to the common GIS tasks of visualizing and analyzing data, we will use GIS tools to delineate watersheds, and to perform land classification and surface water identification and data analysis.

The remote sensing component is focused around measurements in the visible, thermal and microwave regions of the spectrum. We will introduce the physics behind the measurements, and illustrate how observations in each region yield invaluable data for water resources. Remote sensing data will be used to analyze elevation and land cover distribution, as well as precipitation, soil moisture and evaporation patterns in a basin.

In exercises and lectures, different tools and applications are offered. For each application, assignments are given to allow students to acquire relevant skills. The course structure combines assignments and introductory lectures. Each week participants work on one assignment. These assignments are discussed in the next lecture and graded. Each week a new assignment is introduced, together with supporting materials (an article discussing the relevant application) and lectures (introducing theoretical issues). The study material of the course consists of a study guide, assignments, lecture material and articles. The final mark is the average of the grades of the individual assignments.
Study Goals
After this course a student can:
1) Explain what a GIS is, and to describe its key features
2) Use GIS to visualize and analyze data
3) Use GIS tools to work on real WRM problems
4) Understand important terminology in remote sensing
5) Explain the advantages and disadvantages of measurements in different parts of the EM spectrum
6) Use real remote sensing data to study problems in WRM
Education Method
Lectures, exercises
Literature and Study Materials
Available through Blackboard
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