Homework 1: SAR for Landcover Applications
This homework includes questions from the lectures and exercises from this webinar series. Some of the questions refer to parts of the exercise that can be best answered as you go through it. Hence, it would be best to record your answers in a sheet of paper or elsewhere before submitting them here. You will not be able to save your answers and return to complete this form at a later time.

To receive a certificate of completion, you must have attended all live sessions and complete this homework by October 4. Once you submit the homework, you will receive an email with a copy of your responses.

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1. The Sentinel-1 satellite from the European Space Agency contains a SAR sensor that operates at: *
5 points
2. An L-band wavelength has a length of approximately: *
5 points
3. Which band has greater penetration through a dense canopy? *
5 points
4. Radar is sensitive to: *
5 points
5. Open water is mainly characterized by: *
5 points
6. Inundated vegetation is mainly characterized by: *
5 points
7. Which polarization is best for detecting inundation under dense vegetation? *
5 points
Required
8. Which polarization is best for detecting open water? *
5 points
9. What is a common source of confusion with flooded vegetation? *
5 points
10. As surface soil roughness increases: *
5 points
11. As water in the target increases: *
5 points
12. It is fine to use SAR if it was raining at the time of the acquisition: *
5 points
13. When the soil or vegetation is drier, the radar signal penetration: *
5 points
14. Never use SAR to estimate soil moisture if the ground is frozen: *
5 points
15. What is the best polarization for agriculture monitoring? *
5 points
Required
Part 1 Exercise:
Login to Google Earth Engine and go through the exercise to answer the questions below
16. What happens when you increase the smoothing radius of the speckle filter? *
5 points
17. What happens when the applied water threshold is increased? *
5 points
18. The pixel values of your Sentinel-1 image are in sigma-naught (dB): *
5 points
19. Which would be a typical pixel value in your image? *
5 points
20. After performing the after-before image subtraction and applying a threshold, why is there flooding being detected in the ocean? *
5 points
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