120.081 Climate and Environmental Remote Sensing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to assess how  Earth observation data can be used to improve the understanding and the modelling of climate and environmental processes, including:

  • Knowledge of Earth and climate systems (drivers, water and energy fluxes, feedbacks etc.)
  • Water cycle: processes, Earth observation systems, variability, computing and interpreting trends
  • Carbon cycle: processes, vegetation properties observable from space, Measurements systems, variability, trends
  • Principles of climate modelling
  • Principles of the use Earth observation data for model improvement: evaluation and calibration of models
  • Software tools: e.g. Python, Jupyter Notebooks

 

 

Subject of course

  • Knowledge of Earth and climate systems (drivers, water and energy fluxes, feedbacks etc.)
  • Water cycle: processes, Earth observation systems, variability, computing and interpreting trends
  • Carbon cycle: processes, vegetation properties observable from space, Measurements systems, variability, trends
  • Principles of climate modelling
  • Principles of the use Earth observation data for model improvement: evaluation and calibration of models
  • Software tools: e.g. Python, Jupyter Notebooks

Teaching methods

Lectures, group discussions, assignments, programming in Python, data analysis and visualisation

Mode of examination

Immanent

Additional information

Sollte aufgrund von Vorgaben der Bundesregierung bzw. der TU Wien die Abhaltung der Lehrveranstaltung und der Prüfung bzw. der Teilleistungen in Präsenz nicht möglich sein, wird in das online-Format gewechselt

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu15:30 - 17:0002.03.2023 - 22.06.2023Sem.R. DA grün 02 A Termine
Climate and Environmental Remote Sensing - Single appointments
DayDateTimeLocationDescription
Thu02.03.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu09.03.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu16.03.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu23.03.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu30.03.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu20.04.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu27.04.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu04.05.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu11.05.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu25.05.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu01.06.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu15.06.202315:30 - 17:00Sem.R. DA grün 02 A Termine
Thu22.06.202315:30 - 17:00Sem.R. DA grün 02 A Termine

Examination modalities

Three assignments will be handed in by the students using Python programming and data analysis.

Course registration

Begin End Deregistration end
13.02.2023 00:00 02.03.2023 17:30

Curricula

Literature

No lecture notes are available.

Previous knowledge

Introduction to Earth observation, Einführung in die Fernerkundung, Programming in Python

Language

English