290234 VO Image Processing and Remote Sensing (2023S)
Labels
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
Monday
03.07.2023
16:00 - 18:00
GIS-Labor Geo NIG 1.OG
Multimedia Mapping-Labor, NIG 1.Stock C0110 Thursday 05.10.2023 16:30 - 17:15 GIS-Labor Geo NIG 1.OG
Multimedia Mapping-Labor, NIG 1.Stock C0110 Tuesday 12.12.2023 09:00 - 10:00 GIS-Labor Geo NIG 1.OG Thursday 14.03.2024 17:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
Multimedia Mapping-Labor, NIG 1.Stock C0110 Thursday 05.10.2023 16:30 - 17:15 GIS-Labor Geo NIG 1.OG
Multimedia Mapping-Labor, NIG 1.Stock C0110 Tuesday 12.12.2023 09:00 - 10:00 GIS-Labor Geo NIG 1.OG Thursday 14.03.2024 17:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
Lecturers
Classes (iCal) - next class is marked with N
Monday
06.03.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
06.03.
18:30 - 20:00
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
20.03.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
27.03.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
17.04.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
08.05.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
15.05.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
22.05.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
05.06.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
12.06.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
19.06.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Monday
26.06.
16:45 - 18:15
Hörsaal 4C Geographie NIG 4.OG C0409
Information
Aims, contents and method of the course
Assessment and permitted materials
The exam will be held digitally with attendance in the GIS and MM lab. Please complete the necessary group registration in the Moodle course (additionally to the u:space registration).Exam with single-choice and multiple-choice questions.
Minimum requirements and assessment criteria
In order to receive a positive evaluation of the lecture, the written examination must be passed (over 50%).
45 points can be achieved.Detailed information on the exam can be found on the Moodle platform of the course!
45 points can be achieved.Detailed information on the exam can be found on the Moodle platform of the course!
Examination topics
Slides and supporting exam preparation materials are made available via the Moodle platform.
Reading list
Albertz J. (2007): Einführung in die Fernerkundung. Grundlagen der Interpretation von Luft- und Satellitenbildern.
Lillesand T. M. und Kiefer R. W. (2000): Remote Sensing and Image Interpretation.
Lillesand T. M. und Kiefer R. W. (2000): Remote Sensing and Image Interpretation.
Association in the course directory
(BA GG 4.1)
Last modified: We 06.03.2024 13:26
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