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Inventory Methods, Statistics and GIS

WZ1823Electives6 ECTSEnglishwinter semesterProfessur für Waldinventur und nachhaltige Nutzung (Prof. Knoke)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you will learn how spatial data is collected, managed, visualized and linked with tabular data. You acquire fundamentals in vector-based GIS applications, terrestrial inventory methods, basic remote sensing techniques, and statistical methods for evaluating and interpreting data.

What you will be able to do

  • Select an appropriate GIS/Image analysis program for a question
  • Practically apply GeoInformatics tools (GIS and RS) to solve spatial problems
  • Understand principles of sample collection and ensure quality criteria for samples
  • Understand basic principles of remote sensing
  • Determine an RS system and analysis strategy suitable for a geospatial question
  • Use data analysis to support the master thesis; formulate hypotheses and apply statistical techniques correctly

What the module consists of

  • VorlesungConveying the theoretical foundations in GIS, terrestrial inventory methods, remote sensing and statistics
  • ÜbungPractical application of the presented concepts and tools
  • BegleitbeispieleUse cases to deepen understanding

Teaching method

  • VorlesungenIntroduction to concepts and methods
  • ÜbungenPractical application and training in handling software and data
  • BegleitbeispieleIllustration of typical use cases

Dates

Lecture with exerciseStatistics2 groups to choose from

  • AFri14:00–17:00PU26A, CAD/GIS-Labor - Schulungsraum (WZWIT26A) (4215.U1.026A)
    4× · 08.01.–29.01.
    • 08.01.
    • 15.01.
    • 22.01.
    • 29.01.
  • BWed15:00–18:00PU26A, CAD/GIS-Labor - Schulungsraum (WZWIT26A) (4215.U1.026A)
    4× · 13.01.–03.02.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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Official page in TUMonline · Details are not binding.