For this week's lab, I worked in ERDAS Imagine to manipulate and enhance various remote sensed images. This week's lab touched on various forms of image manipulation from band layer combinations of Red, Green, Blue which changes the image feature colors, the sharpening, and refining of edges in imagery, and identifying features based on their histogram and band information. Below you can see the example of one of the three features I was to identify. Each of the three features had specific values for pixel values, histograms, and criteria that make them unique. One of my examples can be seen below:
For this map, the feature I was looking for was described as a feature causing a small spike in pixel values within Layers 1-4 around 200 and a large spike between pixel values 9 and 11 in Layer 5 and 6. To determine this feature I first assessed the histogram for each of the 6 layers and then determined the spike areas. I then used the ERDAS Identifier tool to look at the suspected snow area to see if it met both pixel value criteria. When the feature was confirmed as correct, I chose the following band combination to help distinguish the snow cover in the image, Red: Layer 6, Green: Layer 5, and Blue: Layer 3. This causes the snow to appear blue and distinguish itself from the surrounding features.
~Map On!
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