OEKB100162 Remote sensing, GIS, surveying and mapping
- Type
- course with continuous assessment
- Semester hours
- 6
- Lecturer (assistant)
- Arndt, Jan Erik , Bauer, Thomas , Immitzer, Markus
- Organisation
- Geomatics
- Offered in
- Wintersemester 2025/26
- Languages of instruction
- Deutsch
- Content
-
After successfully completing this module, students will be able to:
- Name the most important sources of geodata (e.g., land register and cadastre, geotechnical data, water register, etc.). Describe different coordinate systems (current reference and projection systems), explain their advantages and disadvantages, and perform transformations between them. Select and apply the most important methods of fixed-point field consolidation (GNSS, free stationing, traverse), detailed surveying (polar survey, forward section, GNSS), and stakeout (GNSS, polar stakeout) according to the respective task, and assess the accuracy of the results. Independently plan and execute a surveying project.
- Explain the basic geometric and physical principles of remote sensing. Describe the main remote sensing sensors in terms of their properties (platform; spatial, spectral, radiometric, and temporal resolution). Recognize, describe, and evaluate various remote sensing data and products, including their representation options. Interpret spectral information for the characterization of vegetation. Describe the most important remote sensing techniques for the spatio-temporal evaluation of natural areas and identify their advantages and disadvantages for forest-related issues.
- Identify the differences between geodata and describe the advantages and disadvantages of different data models. Identify the components of a Geographic Information System (GIS) and describe the most important tools in a GIS. Independently capture geodata (vector data) and assess its quality. Analyze and link geodata in a GIS and prepare it as a decision-making aid for monitoring and planning tasks. Create simple 2D maps and 3D views.
- Previous knowledge expected
-
Basic knowledge of mathematics and physics. Basic computer skills.
- Objective (expected results of study and acquired competences)
-
After completing the course:
- students will be familiar with the basic methods of surveying, remote sensing, and geoinformatics and will be able to apply them to specific forestry issues.
- students will be able to integrate different geodata available in different coordinate systems (e.g., land registers and cadastres, specialized geodata) into a GIS and correlate these data.
- students will be able to assess the suitability of key remote sensing sensors and methods for forestry issues, compare their advantages and disadvantages, and perform simple evaluations.
- students will be able to evaluate the potential of GIS for forestry issues and optimally utilize available GIS tools for the respective tasks in their operations.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.