Abstract

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Paper
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