290234 VO Image Processing and Remote Sensing (2020S)

3.00 ECTS (2.00 SWS), SPL 29 - Geographie

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 100 participants

Language: German

Examination dates

Lecturers

Klaus Steinnocher

Classes (iCal) - next class is marked with N

Lern-Unterlagen werden online in Moodle zur Verfügung gestellt

Wednesday 11.03. 16:00 - 19:00 Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday 18.03. 16:00 - 19:00 Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday 25.03. 16:00 - 19:00 Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday 01.04. 16:00 - 19:00 Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday 29.04. 16:00 - 19:00 Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday 06.05. 16:00 - 19:00 Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday 13.05. 16:00 - 19:00 Hörsaal 4C Geographie NIG 4.OG C0409

Information

Aims, contents and method of the course

The lecture aims at providing the fundamentals of remote sensing and basics of digital image processing. This requires an understanding of physical fundamentals of remote sensing and the properties of sensors, knowledge of mathematical and statistical models and algorithms for analysing the data and finally an insight into application processes, where the extracted information is used.
Earth observation represents a major information source for geo-applications. New fields of remote sensing application are evolving due to the improvement of spatial and spectral resolution. But data acquisition alone is not sufficient to benefit from these technological developments. It is rather necessary to apply methods and techniques for transforming the huge amount of data acquired by satellite sensors into useful information for the different fields of application.

Lecture with discussion

Assessment and permitted materials

Online Exam:
Take Home Exam: Essay about a topic from the content of the lecture

Minimum requirements and assessment criteria

In order to receive a positive evaluation of the lecture the written examination must be passed.

Examination topics

The teaching and learning content is provided on Moodle by means of the lecture presentation slides. The following chapters are subject of the exam:
Kap 2 Parameters
Kap 3 Sensors
Kap 4 Satellites
Kap 9 Applications land cover

Reading list

Lillesand & Kiefer: Remote Sensing and Image Interpretation. John Wiley & Sons, Inc.

Association in the course directory

(BA GG 4.1) (BA UF GW 19)

Last modified: Fr 12.05.2023 00:23