This module we were tasks with designing a map of Florida displaying major cities, swamps and rivers using proper cartographic elements and typographic principles. The majority of the lab involved placing and editing labels through the label property panel. If further editing was required than the convert to annotation tool was used. These annotation could be edited and warped as needed using the move and edit vertices tools. In addition, a requirement was to make three edits of our own to the map in an effort to develop our individual cartographic styles. I made many edits but the larger ones were changing the the symbology of the state capital as a yellow star which can be intuitively identified as a capital. I removed all cities and rivers that didn't require labels to reduce map clutter and I changed the color scheme of the Swamp and County layers so that the river labels were more easily visible.
This weeks module focused on classifying images using multispectral signatures. Above you can see the completed classified land cover of Germantown, Maryland. To create this image above signatures were collected that correlated to each required feature. Then bands were chosen (R:4 G:6 B:5) that contained the largest separation amongst features to minimize spectral confusion. In the above image roads and urban areas were often confused leading to a much larger area of roads than actually exist. The inset map contains a classification distance map which displays the distance each cell is (spectrally) from the sample points with brighter pixels being further than darker pixels. This indicates that brighter areas have a higher chance of error.
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