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This entry is from Winter semester 2021/22 and might be obsolete. You can find a current equivalent here.

Remote Sensing
(dt. Fernerkundung)

Level, degree of commitment Basic module, compulsory elective module
Forms of teaching and learning,
workload
K.A.,
(k.A.)
Credit points,
formal requirements
3 CP
Course requirement(s): Successful completion of 3-5 exercises
Examination type: Project work (possibly also as group work)
Language,
Grading
k.A.,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Geographie.
Duration,
frequency
K.A.,
k.A.
Person in charge of the module's outline

Contents

n.a. (see Qualification Goals and Business Event Announcements)


Qualification Goals

Students learn basic skills in the field of geographical remote sensing. This includes methods of digital image processing and the evaluation of data sources under various tasks as well as project planning and problem-solving strategies in the context of spatially oriented, geographical issues.


Prerequisites

None.


Applicability

Module imported from B.Sc. Geographie.

When studying M.Sc. Computer Science, this module can be attended in the study area Minor subject Geography.

The module is assigned to Methodological Group M2. Further information on eligibility can be found in the description of the study area.


Recommended Reading

(not specified)



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2021/22. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.