Lab 8 Answer Sheet
Multi-band
(Spectral) Enhancements
Name 1 Name 2
1.
In what kind of areas are the clay features
highlighted (urban, rural forest, agricultural)? Why is this?
You can link the two viewers if you are having trouble comparing sites
on the two images.
2.
Where do the highest concentrations of ferrous
and iron oxides occur? Why do clays not
occur in these areas instead?
3.
What is the size in kbytes
of your 2 images? Why is the new image
so much larger than the original tmAtlanta image?
4. Go to the green patch at the x,y location of 140,-175 (you can use the inquire
cursor to locate this position). In
terms of mineral composition, what does this area represent?
5. At 380, -351 there is a bright yellow patch near
a road. Immediately adjacent to it are
areas that are much darker orange near 382, -346. The adjacent road surface is black. What do these colors represent in terms of
mineral composition?
6. If
you were concerned wit non-point source pollution in the form of sediment, how
might you use the results of your mineral composite image?
7. How
accurate do you think these results might be?
What could you do to evaluate the accuracy?
8. What
features are highlighted (i.e., are the brightest) in layers 1, 2 and 3 of the
tasseled cap transformation?
Layer 1:
.
Layer 2:
Layer 3:.
9. Which image does the best job of separating
trees from tree shadow?
10. What
features, if any, shown up more clearly on the tasseled cap image? Are there features which are confused (e.g.,
different features showing up as the same color) on the tasseled cap image?
11. Can
you detect differences in how these two images highlight vegetation? What about other features shown on the image?
12. In very general terms, describe how the plots differ between the TM5 image and the hyperspectral image.
13. Why does the
hyperspectral image show such low reflectances in layers 8,12,
16 an21?
14. Open layer 1 of the hyperspectral image as a
gray scale image. Why does this image show
so little variations across the landscape?
15. Which layers appear to best distinguish between big
categories of land cover (vegetation, water, wood, gravel, etc.)? Alternatively, at what point in terms of
layer number do the images become noisy and make it difficult to distinguish
categories of land cover)?
16. Focus on the variations within the
stream. Do layers 1 and 2, or do layers
3 through 5 seem to depict more of the in-stream variations? Combined with your answer to question 15,
what does this indicate about the types of information depicted in different pc
layers as the pc number grows higher?
17. What
is the size of your Lamar_TM5_pc image?
18. Compare
layer 1 of the Lamar_hyper_pc image to layer 1 of the Lamar_tasseled_cap image. You will note that they are very
similar. Why do you think this is the
case?
19. How
do the two images vary? Specifically,
which one provides more information and detail.
20. State the
layers you chose and the enhancements you applied to create an image that maximized
in-stream variations.