PřF:ZD223 Remote Sensing - Course Information
ZD223 Remote Sensing
Faculty of ScienceSpring 2019
- Extent and Intensity
- 1/2/0. 4 credit(s). Type of Completion: k (colloquium).
- Teacher(s)
- Ing. Kateřina Tajovská, Ph.D. (lecturer)
Mgr. Kateřina Fárová (seminar tutor) - Guaranteed by
- Ing. Kateřina Tajovská, Ph.D.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: Ing. Kateřina Tajovská, Ph.D.
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science - Prerequisites (in Czech)
- PROGRAM(D-GR4)
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Cartography, Geoinformatics and Remote Sensing (Eng.) (programme PřF, D-GR4) (2)
- Cartography, Geoinformatics and Remote Sensing (programme PřF, D-GR4) (2)
- Course objectives
- Overview of typical SW products for image processing of remotely sensed data is presented. Both professional and freeware products are mentioned. Typical structure and functionality of selected systems is outlined with the stress on their strong and week features. Relation to the GIS software products is mentioned. In practical part examples of application are presented for those systems accessible at the Institute of geography.
- Syllabus
- 1. Overview of the main SW products for image processing (IP) of remotely sensed data. 2. General structure of SW for digital image processing 3. Basic concepts and philosophy of the IP systems 4. Relations to GIS software possibilities of data exchange, supported vector and raster formats 5. Particularities of the selected systems, strong and weak features 6. Examples of concrete application
- Literature
- LANDGREBE, David A. Signal theory methods in multispectral remote sensing. Hoboken, New Jersey: John Wiley & Sons, 2003, xi, 508 s. ISBN 0-471-42028-X. info
- KONECNY, Gottfried. Geoinformation : remote sensing, photogrammetry and geographic information systems. 1st publ. London: Taylor & Francis, 2002, xiv, 248. ISBN 0415237955. info
- LILLESAND, Thomas M. and Ralph W. KIEFER. Remote sensing and image interpretation. 4th ed. New York: John Wiley & Sons, 1999, xii, 724. ISBN 0471255157. info
- Assessment methods (in Czech)
- zkouška
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught once in two years.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/spring2019/ZD223