| 2003 Seattle Annual Meeting (November 2–5, 2003) | |
| Paper No. 122-4 | |
| Presentation Time: 1:30 PM-5:30 PM | ||
URBAN CHANGE STUDY IN MISSOURI USING LANDSAT AND CENSUS DATA | ||
|
HUANG, Heng, LEGARSKY, Justin, and DAVIS, Curt, Electrical and Computer Engineering Department, Univ of Missouri-Columbia, 349 EBW, Columbia, MO 65211, hh9ee@missouri.edu Decision makers need information about urban change within the large metropolitan areas. This study focuses on urban changes in Missouri’s major metropolitan areas such as St. Louis and Kansas City. A major goal of this assessment is to provide useful study data that may highlight priority urban growth regions that are within the metropolitan area, and assist in developing growth policies. This study examines two data sources, which are the U.S. Census data and Landsat imagery. In particular, population changes are examined in the U.S. Census data from 1990 and 2000. For this study, classification results from Landsat imagery are compared to census data for several regions within the larger metropolitan area. Landsat images are classified using the standard maximum likelihood classifier. Same-year multi-season Landsat data sets are used to increase the classification accuracies for each census timeframe. For comparison to changes in Census data, a change analysis on the Landsat classifications is performed on several typical land types. This research is sponsored through a subcontract from Raytheon/STX Corporation. | ||
|
2003 Seattle Annual Meeting (November 2–5, 2003)
| ||
| Session No. 122--Booth# 134 Remote Sensing/Geographic Information System (Posters) Washington State Convention and Trade Center: Hall 4-F 1:30 PM-5:30 PM, Monday, November 3, 2003 Geological Society of America Abstracts with Programs, Vol. 35, No. 6, September 2003, p. 260 | ||
© Copyright 2003 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions. | ||