Lecturer: Prof. Mingsheng Liao, Prof. Timo Balz, Prof. Lu Zhang
Platform: ZOOM Meeting
Class time: 07:00PM-10:00PM, August 23-27, 2020 (CST/UTC+8)
Language: English
Course description: In this course, Synthetic Aperture Radar Interfermetry is introduced and using multi-temporal SAR interferometry methods, like PSInSAR, are introduced. Methods and applications for using SAR interferometry for disaster mitigation are shown. It is designed for graduate students in Geographic Information Sciences and Remote Sensing.
Course objectives: After completion of the course, students will:
· Have knowledge on basic and advanced methods SAR remote sensing
· Have knowledge on SAR interferometry, D-InSAR, and advanced methods
· Learn about differences and applications of multi-temporal InSAR methods
· Gained practical experience in SAR interferometry data processing
· Have knowledge on possible applications of SAR data for disaster mitigation
Be able to express the basic concepts and operations described in this course in English, both orally and in written form
Course outline:
1. Introduction to Synthetic Aperture Radar Remote Sensing
2. Introduction into SAR interferometry
3. Surface motion estimation with D-InSAR and derived methods
4. Introduction to multi-temporal SAR interferometry
5. Comparative analysis of different methods, like PSInSAR, SBAS, SqueeSAR, etc.
6. Surface motion estimation with pixel offset tracking
7. Applications of SAR in monitoring geohazards and infrastructure stability
