Jennifer's GIS Blog

This week, we engaged in the application of unsupervised and supervised image classification methodologies. Subsequent to completing several practical demonstrations, we were tasked with conducting a land use analysis of Germantown, Maryland. This endeavor was undertaken to assess the efficacy of the state's "Smart, Green and Growing" Initiative at the request of the Governor.

 This feature is a source of water, specifically waterways and inlets in the area around Seattle including Puget Sound. I chose to subset and highlight the area of Puget Sound. I achieved this using the grayscale version and selecting level 4 I then used the Panchromatic ribbon and then the adjust radiometry and the breakpoints tool using the following settings Starting with the Grayscale Image in Erdas Imagine, I highlighted the small spike in layer 2 using the histogram tool to isolate the spike, comparing this with the multi spectral imagery made it apparent that the feature that spike caused was the snowcaps on top of tne Olympic Mountains.  To make the area of Lake Taps pop I hanged the landsat imagery so that Layer 6 was Red, Layer 2 was green and Layer 3 was blue, this caused the lake to appear a vivid green color in comparison to the larger puget sound and Grays Harbor areas. I’m not clear on why this is the case or what might cause it as I’m not an environmental scien...

 For this lab we worked on learning and exploring tools within Erdas Imagine and exported a dataset of an area of Olympic National Park