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Module Description Sheet (PDF)

 
 
Departments >> Faculty of Sciences >> Department Geographie und Geowissenschaften >> Department of Geography >>

Advanced Methods – Remote Sensing: Spectroscopy and Analysis of Spectral Data (SASD)5 ECTS
(englische Bezeichnung: Advanced Methods – Remote Sensing: Spectroscopy and Analysis of Spectral Data)

Modulverantwortliche/r: Matthias Braun
Lehrende: Matthias Braun


Start semester: WS 2022/2023Duration: 1 semesterCycle: jährlich (WS)
Präsenzzeit: 30 Std.Eigenstudium: 120 Std.Language: Englisch

Lectures:


Empfohlene Voraussetzungen:

n/s

Inhalt:

Selected methods related to the advanced analysis of spectroscopy data

Lernziele und Kompetenzen:

The students

  • understand the major principles of spectroscopy for remote sensing;

  • practice different state-of-the-art methods for an analysis of spectroscopy data;

  • understand the applicability, limitations, and pitfalls of these methods;

  • know potential applications of spectral analyses to topics in physical geography.

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:

MSc Climate & Environmental Sciences
Semester 1+2


Weitere Informationen:

www: https://www.geographie.nat.fau.de/studium/studiengaenge/master/

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:

  1. Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2017w | NatFak | Climate & Environmental Sciences (Master of Science) | Consolidation Modules - Emphasis on Geoinformatics | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  2. Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2017w | NatFak | Climate & Environmental Sciences (Master of Science) | Consolidation Modules - Environmental Analysis | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  3. Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2017w | NatFak | Climate & Environmental Sciences (Master of Science) | Elective Modules: Advanced Methods A + B (graded) | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  4. Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2017w | NatFak | Climate & Environmental Sciences (Master of Science) | Elective Modules: Advanced Methods C (ungraded) | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  5. Data Science (Master of Science)
    (Po-Vers. 2021w | Gesamtkonto | Anwendungsfächer | Geographie | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  6. Physical Geography: Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2020w | Gesamtkonto | Elective Modules: Advanced Methods A + B (graded) | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  7. Physical Geography: Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2020w | Gesamtkonto | Elective Modules: Advanced Methods C (ungraded) | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  8. Physical Geography: Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2020w | Gesamtkonto | Consolidation Modules - Emphasis on Geoinformatics | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)
  9. Physical Geography: Climate & Environmental Sciences (Master of Science)
    (Po-Vers. 2020w | Gesamtkonto | Consolidation Modules - Environmental Analysis | Advanced Methods: Remote Sensing: Spectroscopy and Analysis of Spectral Data)

Studien-/Prüfungsleistungen:

Remote Sensing: Spectroscopy and Analysis of Spectral Data (Prüfungsnummer: 61201)

(englischer Titel: Remote Sensing: Spectroscopy and Analysis of Spectral Data)

Prüfungsleistung, Hausarbeit, benotet, 5 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %
weitere Erläuterungen:
Weekly assignment (Problem-solving issues within the broader context of Spectroscopy and Analysis of Spectral Data, max. 3 pages) or written paper (max. 15 pages), 100 %
Grading: 100 % module examination

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023
1. Prüfer:

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