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.
The data sets are as follows:
Digital-Ortho Photo
AMDC Image
Landsat MSS Scene