. . "201900058" . "EOS_0006" . "5"^^ . "140"^^ . "10"^^ . "2022-11-10T23:00:00Z"^^ . "f2f" . "Lecture, flipped classroom, self-study, individual assignment, supervised practical and group assignment (oral presentation and individual report)."@en . . . . . . "All students in the M-GEO GFM specialization are accepted.Students following other specializations or programmes should have studied programming (Python, Matlab, or R) and basic image analysis knowledge.,All students in the M-GEO GFM specialization are accepted.\nStudents following other specializations or programmes should have studied programming (Python, Matlab, or R) and basic image analysis knowledge."@en . . . . . . . . "2"^^ . "1" . "1A " . . "2022-09-04T22:00:00Z"^^ . "Radar Remote Sensing is different from optical Remote Sensing and offers unique opportunities in observing and monitoring the Earth surface. This course provides an overview of technology and applications related to radar remote sensing. Specifically, Synthetic Aperture Radar (SAR) and advanced methods building on SAR are considered: InSAR (Interferometric Synthetic Aperture Radar), DInSAR (Differential InSAR), Time Series InSAR, PolSAR (Polarimetric SAR) and PolInSAR. The students will learn how to choose, handle and pre-process the SAR images and apply advanced methods for information extraction from these images. Various examples of applications will be provided. The quality of obtained results will be discussed in relation to the type of SAR data and choices made during the analysis. The course offers an opportunity to specialise in one of the advanced SAR methods during a practical project."@en . "Radar Remote Sensing"@en . . "Radar Remote Sensing"@en . "Radar Remote Sensing"@en . . . "Learning outcome"@en . . "Apply InSAR to generate elevation and ground deformation."@en . "Apply InSAR to generate elevation and ground deformation."@en .