Disaster Assessment Using Synthetic Aperture Radar

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This assignment includes questions from the 3 parts of the webinar series "Disaster Assessment Using Synthetic Aperture Radar". We recommend writing down your answers on a piece of paper or in a Word document before submitting. You will not be able to save your answers and complete this form at a later time.

To receive a course completion certificate, you must have attended all 3 live parts and completed this assignment by Nov. 17, 2022. When you submit the assignment, you will receive an email with a copy of your responses.

Once you click to submit, you can click "View Score" to see your results.

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Name (First Last) *

Which band is better suited for detecting inundated vegetation in densely forested areas? *

5 points

X-band

C-band

S-band

L-band

Which backscattering mechanism dominates in areas of open water? *

5 points

Double-bounce

Rainbow scattering

Specular scattering

Volume scattering

Double-bounce is the dominant backscattering mechanism where there is inundated vegetation. *

5 points

True

False

Which is the best polarization for detecting open water? *

5 points

None of the above

Other:

Which is the best polarization for detecting inundated vegetation? *

5 points

None of the above

The phase of the radar signal is the number of cycles of oscillation that the wave executes between the radar and the surface and back again.

5 points

True

False

Interferometric Synthetic Aperture Radar (InSAR) can be used for (select all that apply): *

5 points

Earthquake and volcano monitoring and modeling

Landslides and ground subsidence

Glacier and ice sheet dynamics

Deforestation, change detection, disaster monitoring

Required

When we do repeat pass interferometry and we are using a relatively short radar wavelength, there is volumetric scattering within the trees, and the leaves cause a loss of coherence.
*

5 points

True

False

Low coherence or decorrelation for any reason causes:

5 points

a gain in information

a loss of information

it has no effect

Some of the challenges in detecting oil spills with SAR are assessments of: *

5 points

Thickness estimates

Oil type and its properties

Oil type characteristics

All of the above

Oil slicks dampen the surface roughness and are hence detected as areas of:

5 points

high backscatter

low backscatter

medium backscatter

All of the above

Which polarization is best for detecting oil spills: *

5 points

Please select the sources of confusion with oil spills. *

5 points

Newly formed sea ice

Low wind regions

Internal waves

Algae blooms

Required

Areas with thicker oil tend to dampen the surface even more and therefore appear brighter in radar images. *

5 points

True

False

Sensor characteristics such as incidence angle and signal-to-noise ratio affect detection and monitoring capabilities of oil spills.

5 points

True

False

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