GOALS OF THE STUDY
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This study is designed to look at the applicability of remotely
sensed data for identifying and quantifying impervious surfaces. It will
look at the accuracy and cost-effectiveness of three different types of
images by comparing and contrasting two different forms of digital data
with a traditional panchromatic aerial photo. The area of study is a 3
acre (850 ha) block of land including the intersection of Plymouth and
Green Roads in Ann Arbor, MI. All analysis and image manipulation is done
with Erdas Imagine software.
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The data sets are as follows:
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Digital-Ortho Photo
AMDC Image
Landsat MSS Scene
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