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Last update: Ing. Markéta Potůčková, Ph.D. (22.05.2020)
J. A. Richards (2009): Remote Sensing with Imaging Radar, 361 s., Springer R.F. Hanssen (2001): Radar Interferometry: Data Interpretation and Error Analysis, Kluwer Academic Publishers A. Ferretti et al. (2007): InSAR Principles, ESA |
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Last update: Ing. Markéta Potůčková, Ph.D. (22.05.2020)
Successful completion of the subject requires: - active participation at the lectures and practical exercises - delivery of written reports according to the instructions in the description of the practical exercises - delivery of the reposts in time (delivery dates are written in the description of the practical exercises and in the Moodle system) |
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Last update: Ing. Markéta Potůčková, Ph.D. (29.09.2020)
The lectures give an overview on synthetic aperture radar (SAR) theory. Explained methods of SAR data analysis and interpretation reflect possibilities and limits in the context of available data sources and their geometric, polarimetric and frequency properties. Selected data processing methods using the SNAP software package and Sentinel-1, ERS a ENVISAT/ASAR imagery are trained during the practical exercises. 1. Principles of radar/SAR sensing 2. Radar equation 3. Geometry of radar sensing 4. Speckle and its filtering 5. History of radar sensing, overview of operating SAR systems 6. Sentinel-1: data description, data access, processing with ESA software tools 7. Applications of using only intensity of SAR data (floods, snow cover, land cover mapping, fusion SAR and optical images, …) 8. Interferometry. Interferogram. DEM extraction 9. Differential interferomety. Permanent scatter interferometry. 10. Polarimetry
In the winter term 2020/21 the subject will be taught online on Tuesdays 9:00 - 12:00. Link: https://meet.google.com/pys-wqwa-uaq |