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Fernerkundung in der Stadtplanung und -entwicklung

ED110167Master's Modules4 ECTSEnglishWintersemester/SommersemesterLehrstuhl für Data Science in Earth Observation (Prof. Zhu)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn how remote sensing is used for the analysis and planning of urban spaces. The focus is on urbanization, informal settlements, urban green spaces, heat islands, Local Climate Zones and building footprints; at the end you can use remote sensing images to solve practical questions in urban planning and development.

What you will be able to do

  • understand global urbanization processes
  • capture challenges of informal settlements in urban space
  • map urban green spaces and their role in urban ecosystems
  • understand mechanisms of urban heat islands and measures to mitigate heat stress
  • conduct classification of urban microclimates (Local Climate Zones)
  • understand extraction methods and applications of building footprints
  • practically apply remote sensing images in urban planning and development

What the module consists of

  • VorlesungContents are presented and discussed together
  • HausaufgabeDeepening understanding and practical application of knowledge

Teaching method

  • PowerPoint-PräsentationenPresentation and discussion of the content
  • HausaufgabenDeepening of topics and practical application
  • Software zur Verarbeitung von ErdbeobachtungsdatenHands-on processing and analysis of remote sensing data

Dates

Lecture with exerciseRemote Sensing in Urban Planning and Development2 groups to choose from

  • AWed13:15–14:450540, Kleiner Hörsaal (0505.EG.540)
    15× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 28.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.
  • BWed14:45–15:450540, Kleiner Hörsaal (0505.EG.540)
    13× · 21.10.–03.02.
    • 21.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 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.

Show TUMonline data
Sprache
Englisch
Turnus
Wintersemester/Sommersemester
Modulniveau
Master
Moduldauer
Einsemestrig
Gesamtstunden
120
Präsenzstunden
60
Eigenstudiumstunden
60
Organisationsname
Lehrstuhl für Data Science in Earth Observation (Prof. Zhu)

Courses

  • Fernerkundung in der Stadtplanung und -entwicklung
  • Fernerkundung in der Stadtplanung und -entwicklung

Official page in TUMonline · Details are not binding.