This week we worked with multispectral analysis. We used various techniques to locate and identify three different features based on their histograms of each layer. Once the features were identified, we changed the bands in order to make that one feature more prominent. As you can see in the first map, the feature was deep water. I decided that bands - R: Layer_5, G: Layer_2 and B: Layer_3 worked best to emphasize the deep water. The dark blue/black lakes really stand out against the red land.
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| Deep water is the prominent feature in this map - clearly standing out as the black/dark areas. |
The second feature we needed to identify based on histograms and an Inquire Cursor was snow-capped mountains. To be sure that the mountains that are snow-capped really stood out and became the prominent feature in the map, I worked with the bands to create the following image. The snow, keeping white, really pops against the green/brown landscape. I went with: R: Layer_3, G: Layer_2 and B: Layer_1.
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| The snow-capped mountains are the prominent feature in this map. Keeping the snow white and mountains green really gives a good perspective. |
The third and final feature that was identified was shallow water. As you can see, the show water is displayed as a light and bright blue. It distinctly stands out against the dark, almost black deep water and the red land.
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| The shallow water in this map stands out as it is a much brighter blue compared the the dark, almost black deeper water and red land. |
This lab seemed to be pretty unclear. There was a lot of trial and error and communication between classmates in order to figure things out. I felt that maybe more detail or insight needed to be included in this lab.
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