Microwave radiation. Pprinciples of active microwave sensors (radar). Synthetic Aperture Radar (SAR) processing. SAR imagery preprocessing, despeckling methods. Georeference of SAR imagery. Interpretation of SAR images. Applications of SAR remote sensing in land use, agriculture, oceanography, environment (natural disasters) and ice areas. Interferometry. Differential interferometry. Time series analysis of SAR interferograms.
- Teacher: Βασιλεία Καραθανάση
ECTS : 5
Language : el
Learning Outcomes : Upon successful completion of the course, the student develops skills and is able to: • Select the type of SAR imagery depending on the application they want to develop • Georeference SAR imagery with precise orbit elements • Produce phase and intensity imagery and apply filters for speckle reduction • Handle SAR imagery processing tools in SNAP software • Interpret intensity images and process them to extract information for applications in forests, marine environment, agriculture, natural disasters, etc. • Input the most appropriate parameters, apply the interferometric methodology and analyze the accuracy of the extracted Digital Terrain Model • Understand the steps and techniques of differential interferometry. • Know and apply differential interferometry methods • Know basic principles of time series analysis of differential interferograms.