BB836: Geographical Information systems (GIS) in Environmental monitoring and Climate adaption
Internal Course Code
Comment
Entry requirements
Academic preconditions
Students taking the course are expected to have a professional level at least equivalent to the 3rd year Bachelor student.
The course builds on the knowledge of cell terrestrial nature, ecology, environmental quality assessment of pollution in streams and climate adaptation Some courses are running in parallel to and earlier during the study program.
The use of your own computer, preferably with Windows, but Mac is also accepted, is required for this course.
Course introduction
The aim is to introduce GIS theory and its applicability within environmental and nature conservation and climate adaptation. The students will learn GIS-tools through practical environmental cases: where they prepare, implement and create environmental maps and treat and manipulate the data. The intention is that the students reach a level, so GIS can be used during the master project. The topics is: evaluate nutrient runoff from catchments with varying land use, climate adaptation plans where topographic models assists creation of hydraulic buffers in the landscape, analysis of marine environmental conditions to fulfill the EU’s Water Frame Directive and coupling of dynamic models to GIS-tools to improve the spatial ecosystem analysis.
Expected learning outcome
- Create, optimize and maintain GIS-databases.
- Register digital data into basic and thematic maps.
- Using drone imaging for ground truthing of spatial data.
- Understand and use different types of projections.
- Critical analysis of the quality of GIS-data.
- Use GIS data- and map-manipulation facilities including: Aggregating, combining, deleting, overlaying and splitting.
- Analyze spatial data by database queries (SQL).
- Evaluate maps and themes with 0, 1, 2 and 3D-analyser.
- Create thematic maps.
- Generate topographic models and analyze spatial gradients.
- Use GIS to analyze complex environmental problems (thru cases).
Content
Literature
- Heywood et al. An introduction to GIS. 4. udg
- Booklet
- Original artikler
- Video tutorials with learn content
See itslearning for syllabus lists and additional literature references.
Examination regulations
Exam element a)
Timing
Tests
Project report, presentation and oral defense of report.
EKA
Assessment
Grading
Identification
Language
Examination aids
ECTS value
Indicative number of lessons
Teaching Method
- Finishing GIS-analysis.
- Writing tutorial reports from exercises.
- Round table discussions.
- Presenting data in groups.
Teacher responsible
Additional teachers
Timetable
Administrative Unit
Team at Registration
Offered in
Recommended course of study
| Profile | Education | Semester | Offer period |
|---|---|---|---|
| MSc Data Science, Environmental Data Science - Registration 1 September 2023, 2024 and 2025 | MSc. Data Science | Master of Science in Data Science | Odense | 1 | E25 |