SubjectsSubjects(version: 962)
Course, academic year 2024/2025
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Time series analysis in RS - MZ370G31
Title: Time series analysis in RS
Czech title: Analýza časových řad dat DPZ
Guaranteed by: Department of Applied Geoinformatics and Cartography (31-370)
Faculty: Faculty of Science
Actual: from 2023
Semester: winter
E-Credits: 5
Examination process: winter s.:
Hours per week, examination: winter s.:1/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English, Czech
Note: enabled for web enrollment
Guarantor: Ing. Markéta Potůčková, Ph.D.
Teacher(s): Ing. Markéta Potůčková, Ph.D.
Annotation
The course provides a theoretical background and practical research-based examples of processing time series analysis in remote sensing. It is based on an open e-learning course on Time Series Analysis in Remote Sensing for Understanding Human-Environment Interactions developed by collaboration of research groups from Charles University, Heidelberg University, University of Innsbruck, and University of Warsaw within the ERASMUS+ Strategic partnership project (ID 2020-1-CZ01-KA203-078308).
Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)
Literature

All learning materials and references are available from the course homepage.

Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)
Requirements to the exam

Active participation at the seminar seasios, passing the wittern examination test.

Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)
Syllabus

The course coveres following topics:

  • Methods of Time Series Analysis in Remote Sensing
  • Satellite Multispectral Images Time Series Analysis
  • 3D/4D Geographic Point Cloud Time Series Analysis
  • Airborne Imaging and Laboratory Spectroscopy Time Series Analysis

Form of the course: seminar seassions combined with self study using the e-learning materials. 

Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)
 
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