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1302

Basics of digital image processing of earth observation data

Semester: 1.
Credits: 6 CP
Duration: 1 Semester
Module Supervisor: Dr. Valerie Graw
Contact hours: 3 SWS
Selfstudy: 140 h
Group size: 15
Learning Goals

The students have an overview of the currently operational methods of imaging, area-mapping airborne and satellite-based geo-remote sensing, learn the main categories of the corresponding geodata with their topological-geometric and semantic attributes (= information) and are able to optimally expand image data for visual analysis, i.e. spectroradiometrically and geometrically enhance them.

Contents
  • Recording system, basic components and their elementary characteristics/properties, electromagnetic radiation.
  • Sensors: Recording and recording components of optomechanical and optoelectronic scanners.
  • Sensor carriers: aircraft, satellites and their importance for image/data properties
  • Basic image properties: Imaging geometry, radiometric and spectral properties/characteristics.
  • Digital image data in different representations (single channel/multi-channel, black and white, true color, false color in different variants)
  • Elimination of recording errors, compensation of atmospheric effects and/or noise
  • Techniques of computer-aided image enhancement to optimize visual evaluability: approaches of contrast enhancement, filtering methods (high/low pass)
  • Multisensory image combinations of data sets with different geometric or spectral resolutions
  • Elementary approaches of image data rectification (rectification/ geocoding)
  • Mosaicization
Teaching methods

Seminar (teaching discussion, task processing)
The teaching of methodological skills through practical exercises (partly using special software) as well as through the joint elaboration of theory-based findings in scientific discourse require the regular participation of the students in the seminar sessions (with a maximum of 2 absences).

Mode of assessment

Final exam.


Additional Information

Conditions for granting credit points

Successful completion by passing the examination task.

Usage of the module
Mandatory module within the M.Sc. program in Geography, specialization in Geomatics; Elective module within the other M.Sc. specializations.

Stellenwert der Note für die Endnote
The module grade is CP-weighted (6/120) and is included in the final M.Sc. grade.


Use of specialized remote sensing software



Courses in Summer Semester 2025

No courses are scheduled for this semester.


Courses in Winter Semester 2024-2025

Lecturers:Valerie Graw
Course type:Seminar
Registration:The registration process is through the Wahlwoche (link) of the Department of Geography. Be sure to check the Studinews regularly for this.

Registration by email via Mr. Edler (circular email be sent)

Examination components:

Brief paper

Target audience:

Master students

Goals

The seminar will introduce the operational procedures of satellite-based optical remote sensing and apply them in practice with the help of examples.

Content

In the golden age of remote sensing, we have access to a wealth of freely available data in various spatial and temporal resolutions. Geometric, spectral and radiometric resolution plays a key role in the processing of this data. The focus of the seminar is on the preparation, processing, analysis and interpretation of optical satellite data. This also includes working out and discussing the possibilities and limitations of optical remote sensing data for different fields of application. Topics of the seminar include, for example, the implementation of land use classifications and the possibilities of evaluating them. Furthermore, changes in cities or surface processes, for example, are observed temporally and spatially and, in addition to spectral, spatial and temporal parameters, geometric and radiometric parameters are also assessed. The use of remote sensing-based indices is discussed and their strengths and weaknesses analyzed. In self-selected case studies, the core question for further research work is also posed: what is actually the “right” data for me and my research interests? 

Organization

The seminar is divided into 2 blocks. In the first larger block, concepts and procedures for working with optical remote sensing data are taught and put into practice with the help of case studies. In the second block, selected project regions are used as examples to put what has been learned into practice.

Literature

A bibliography will be provided at the beginning of the seminar.