. . . "Make informed decision of radar sensor, image acquisition mode and image processing level for a specific study."@en . . "Make informed decision of radar sensor, image acquisition mode and image processing level for a specific study."@en . . . "Apply polarimetric SAR for target identification and land cover classification."@en . . "Apply polarimetric SAR for target identification and land cover classification."@en . . . "Explain the differences between microwave and optical remote sensing techniques."@en . . "Explain the differences between microwave and optical remote sensing techniques."@en . . . "Apply InSAR to generate elevation and ground deformation."@en . . "Apply InSAR to generate elevation and ground deformation."@en . . . "Explain main principles of SAR and InSAR techniques: speckle, radar cross section, coherence, phase unwrapping, interferogram and factors affecting the precision of its results, the principle of polarimetric filtering, decomposition, and polarimetric interferometry"@en . . "Explain main principles of SAR and InSAR techniques: speckle, radar cross section, coherence, phase unwrapping, interferogram and factors affecting the precision of its results, the principle of polarimetric filtering, decomposition, and polarimetric interferometry"@en . . "https://ltb.itc.utwente.nl/page/792/concept/152773" . . "SAR"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152780" . . "PolSAR"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152789" . . "Land use and land cover classification"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152801" . . "Subsidence"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152869" . . "InSAR"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . . "SNAP"@en . . . "Course"@en . "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 Se