Abstract
 Challenges and Solutions for Regional Land-Use Change Analysis Track: Remote Sensing Imagery Author(s): Ara Erickson, Luke Rogers, Phil Hurvitz, Justina Harris A land-use change analysis for western Washington produced repeatable, yet accurate, results in a short amount of time--primarily with automated methods. Combining ArcGIS with eCognition Professional® and ERDAS IMAGINE®, we tested and showed that a relatively simple and repeatable object-oriented classification is a fast, accurate, and realistic method of land-cover classification. Further processing of the land-cover data using eCognition and a number of customized applications in Esri GIS software resulted in actual land-use classes for a large study area. Interfacing with ArcGIS 9.x and ArcView 3.x, multiple applications were implemented to produce seamless land-use maps for three time periods and the change in land use over those time periods. ThIS data will be used for local decision making as well as providing baseline land-use data for tracking future change at a regional level. Ara Erickson University of Washington College of Forest Resources Box 352100 Seattle , WA 98195 US Phone: 2065437418 E-mail: arake@u.washington.edu Luke Rogers University of Washington College of Forest Resources Box 352100 Seattle , WA 98133 US Phone: 206.543.7418 E-mail: lwrogers@u.washington.edu Phil Hurvitz University of Washington College of Architecture and Urban Planning Box 355740 Seattle , WA 98195-5740 US Phone: 206.543.7418 E-mail: phurvitz@u.washington.edu Justina Harris University of Washington College of Forest Resources Box 352100 Seattle , WA 98195-2100 US Phone: 206.543.7418 E-mail: justih@u.washington.edu |
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