7. Multi- and Hyperspectral Sensors: Principles, Technologies and Sensors

8. Multi- and Hyperspectral Sensors: Applications

9. LIDAR: Principles, Technologies and Sensors

10. LIDAR: Applications

11. Agriculture Applications of Synthetic Aperture Radar

12. Statistical Modeling, Processing and Analysis of SAR Images

13. Remote Sensing Using GNSS (reflected) Signals of Opportunity

14. Electromagnetic Scattering in Earth Remote Sensing: the "machine code approach"

15. Thermal Infrared Remote Sensing: Principles and Applications

16. Water Quality Monitoring with Optical Methods

17. Machine Learning for Remote Sensing Data Analysis

18. Real-Time Hyperspectral Imaging