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Advanced Methods – Scripting for Remote Sensing of the Environment (SRSE)5 ECTS (englische Bezeichnung: Advanced Methods – Scripting for Remote Sensing of the Environment)
(Prüfungsordnungsmodul: Advanced Methods: Scripting for Remote Sensing of the Environment)
Modulverantwortliche/r: Matthias Braun Lehrende:
Christian Sommer
Startsemester: |
SS 2022 | Dauer: |
1 Semester | Turnus: |
jährlich (SS) |
Präsenzzeit: |
30 Std. | Eigenstudium: |
120 Std. | Sprache: |
Englisch |
Lehrveranstaltungen:
Empfohlene Voraussetzungen:
n/s
Inhalt:
Selected methods related to the processing of Earth observation data
Lernziele und Kompetenzen:
The students
understand the major principles of data availability and processing chains;
are able to prepare scripts towards an automated processing of Earth observation data;
know to customize and adopt existing algorithms for data processing;
understand advanced methods of data processing.
A series of practical exercises builds on each other throughout the course. Results of these exercises will develop from individual contributions and small-group work, and from a discussion with the whole group. Course attendance is therefore compulsory.
Literatur:
Will be provided at the beginning of the course
Bemerkung:
M.Sc. Climate & Environmental Sciences
Mastersemester 1+2
Weitere Informationen:
www: https://www.geographie.nat.fau.de/studium/studiengaenge/master/
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
- Data Science (Master of Science)
(Po-Vers. 2021w | Gesamtkonto | Anwendungsfächer | Geographie | Advanced Methods: Scripting for Remote Sensing of the Environment)
Dieses Modul ist daneben auch in den Studienfächern "Climate & Environmental Sciences (Master of Science)", "Physical Geography: Climate & Environmental Sciences (Master of Science)" verwendbar. Details
Studien-/Prüfungsleistungen:
Scripting for Remote Sensing of the Environment (Prüfungsnummer: 60901)
(englischer Titel: Scripting for Remote Sensing of the Environment)
- Prüfungsleistung, Seminarleistung, benotet, 5 ECTS
- Anteil an der Berechnung der Modulnote: 100.0 %
- weitere Erläuterungen:
Weekly assignment (Problem-solving issues within the broader context of Scripting for Remote Sensing of the Environment, max. 3 pages), 100 %
Grading: 100% module examination
- Erstablegung: SS 2022, 1. Wdh.: WS 2022/2023
1. Prüfer: | Matthias Braun |
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