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

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

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).

Literature

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

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

Requirements to the exam

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

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

Syllabus

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

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.