Remote Sensing of Environment - Study Questions for Midterm Exam 2 | ERS 186, Exams of Environmental Science

Material Type: Exam; Class: Environ Remote Sensing; Subject: Environmental Resource Science; University: University of California - Davis; Term: Unknown 1989;

Typology: Exams

Pre 2010

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Study Questions for Second Midterm
ERS 186 – Dr. Vern Vanderbilt
1. Explain spectral libraries, emissivity, photic depth, Rayleigh and Mei scattering, depression angle, cloud masks,
soil line, LAI and Goniometer.
2. Describe types of distortions in RADAR images.
3. What is the range of EMR in which RADAR, LIDAR and Hyperspectral sensors operate?
4. What is a corner reflector?
5. Draw soil spectra of a typical US soil.
6. What is the dielectric constant? How is it correlated with RADAR wave scattering?
7. What sensor and what wavelength range is suited to detect characteristics several feel under the surface?
8. Illustrate graphically, the forward scattering and back scattering directions.
9. Name which and explain how the characteristics of each of these items can be detected using remote sensing:
soil, vegetation, clouds, water and atmospheric gases.
10. What is an absorption feature? Explain two broad categories of absorption features. What wavelength range is
characteristic of each category? Which sensor type would be best suited to quantify various parameters of
absorption features (like depth, width, skew, etc).
11. Why is the classification of rocks and minerals using absorption band features more accurate than it is for
vegetation?
12. Draw and label the “Tassled Cap” transform.
13. What can RADAR imagery tell you about the moisture in the soil if you have only one image; if you have two
images, one taken in the day and one at night?
14. LIDAR is used estimate which parameters of vegetation and why? What is the difference between a LIDAR pulse
and a RADAR pulse other than the wavelength being used?
15. Define linear and intimate mixtures and give an example scenario for each. Explain how the mixture type affects
the spectra of a mixed pixel (figures can be helpful).
16. Explain how snow can be differentiated from clouds? Which EMR range would be useful for this purpose?
17. Show using figures, the general form of the radiance equations for soil and a shallow lake.
18. What characteristics of the surface can interfere with mapping of minerals on the earth’s surface?
19. Two things decide whether the interaction between a particle and an EMR wave (i.e. scattering) follows Rayleigh
or Mei patterns. Name them and explain why?
20. Define and illustrate using a figure, BRDF and hot spots?
21. Draw the vegetation spectra showing absorption, transmission and reflection components.
22. Describe the two categories of vegetation indices (VI’s). Know the formulas of all the VI’s covered in class. They
are very very important.
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Study Questions for Second Midterm

ERS 186 – Dr. Vern Vanderbilt

  1. Explain spectral libraries, emissivity, photic depth, Rayleigh and Mei scattering, depression angle, cloud masks,

soil line, LAI and Goniometer.

  1. Describe types of distortions in RADAR images.
  2. What is the range of EMR in which RADAR, LIDAR and Hyperspectral sensors operate?
  3. What is a corner reflector?
  4. Draw soil spectra of a typical US soil.
  5. What is the dielectric constant? How is it correlated with RADAR wave scattering?
  6. What sensor and what wavelength range is suited to detect characteristics several feel under the surface?
  7. Illustrate graphically, the forward scattering and back scattering directions.
  8. Name which and explain how the characteristics of each of these items can be detected using remote sensing:

soil, vegetation, clouds, water and atmospheric gases.

  1. What is an absorption feature? Explain two broad categories of absorption features. What wavelength range is

characteristic of each category? Which sensor type would be best suited to quantify various parameters of absorption features (like depth, width, skew, etc).

  1. Why is the classification of rocks and minerals using absorption band features more accurate than it is for

vegetation?

  1. Draw and label the “Tassled Cap” transform.
  2. What can RADAR imagery tell you about the moisture in the soil if you have only one image; if you have two

images, one taken in the day and one at night?

  1. LIDAR is used estimate which parameters of vegetation and why? What is the difference between a LIDAR pulse

and a RADAR pulse other than the wavelength being used?

  1. Define linear and intimate mixtures and give an example scenario for each. Explain how the mixture type affects

the spectra of a mixed pixel (figures can be helpful).

  1. Explain how snow can be differentiated from clouds? Which EMR range would be useful for this purpose?
  2. Show using figures, the general form of the radiance equations for soil and a shallow lake.
  3. What characteristics of the surface can interfere with mapping of minerals on the earth’s surface?
  4. Two things decide whether the interaction between a particle and an EMR wave (i.e. scattering) follows Rayleigh

or Mei patterns. Name them and explain why?

  1. Define and illustrate using a figure, BRDF and hot spots?
  2. Draw the vegetation spectra showing absorption, transmission and reflection components.
  3. Describe the two categories of vegetation indices (VI’s). Know the formulas of all the VI’s covered in class. They

are very very important.

Study Questions – Midterm II – Part II

  1. A remote sensing LIDAR system typically illuminates and observes a plant canopy in a) hot spot direction b) cold spot direction c) specular direction d) perpendicular plane e) none of the above f) all of the above.
  2. As an illustration of the effect of multiply scattered light, you are estimating how much the hemispherical reflectance of one leaf differs from the hemispherical reflectance of two leaves stacked one atop the other. Let the hemispherical reflectance of each individual leaf be 'r.' Let the hemispherical reflectance of the two stacked leaves be 'R.' Let the hemispherical transmittance of each individual leaf be 't.' Then the equation for the hemispherical reflectance of the two stacked leaves is

a) What happens to R if the transmittance t of each leaf is zero? Name several plants whose leaves transmit essentially no light. Is light multiply scattered in canopies of such plants?

b) Assume that r = t. Is this a reasonable assumption? Plot the part of the reflectance of the two stacked leaves that represents multiply scattered light for values of r that vary between 0 and 0.50.

c) The hemispherical reflectance of typical green leaves is approximately 6 to 15% in the green, 3 to 5% in the red and 25 to 45% in the NIR. Again assume that r = t. For each of these wavelength regions, calculate the portion of the reflectance due to light multiply scattered between the two leaves as a percent of R, the total reflectance. (Hint: This is found as

A very simple - and surprizing result

R = r + rt

1 − r^2

This equation shows that the reflectance of the two stacked leaves is a sum :

reflectance of

two stacked leaves

reflectance

of one leaf

reflectance increase

due to light multiply

scattered between

the two leaves

top of approximately 60 water waves, then later a return from the sides of 60 waves, then still later a return from the trough of 60 waves. LIDAR #2 estimates wave height from the time spread of each return and by monitoring the height of the first return over time. What height and wavelength would it estimate for each of the three waves?

  1. Spectral libraries developed from ground measurements have allowed which of the following cover types to be identified from space with out use of ground truth (also called ground reference) data: a) various minerals b) several agricultural crops, specifically wheat and barley c) shallow (1 cm deep) seasonal ponds
  2. Based upon the parameter X [=(2pi r)/wavelength] from Mie theory, determine the type of scattering (i.e. Rayleigh, Mie, geometric optics) for each of the following:

a) raindrops (2 mm diameter), b) cloud droplets (10 um diameter) c) particles on certain types of plums, grapes and leaves (0.2 um diameter)

measured using sensors with the following wavelengths: active microwave:-

  1. P-band (1 m wavelength)
  2. X-band (0.01 m wavelength)
  3. Thermal (10 um wavelength)
  4. Visible (0.4 um wavelength)
  1. Complete the following table by calculating the Normalized Vegetation Index (NDVI) and the Simple Ratio (SR) for Red reflectance NIR reflectance NDVI SR Alfalpha 0.07 0. mature corn 0.07 0. deciduous forest 0.06 0. coniferous forest 0.06 0. bright sand 0.20 0. very dark soil 0.045 0.

The NDVI values for the 'bright sand' and the 'very dark soil' are not zero - why? Does this mean that there is actually vegetation growing on them? Based upon values of NDVI and SR, which cover type probably has the highest and lowest values of LAI.

  1. What are SAVI and ARVI and why were they created?