PE&RS September 2003

Cover Image

This cover image is of Ventura County, California showcases Intermap’s Digital Surface Model (DSM). Intermap’s DSM with 5-meter postings is presented in a shaded relief format. The upper right corner of the image highlights the town of Santa Paula, while the river basin evident in the image is that of the Santa Clara River as it heads toward the Pacific Ocean.

This perspective view of Ken Caryl, Colorado highlights Chatsfield Reservoir (to the left) and the red rock “hogback” ridges that flank the Rocky Mountains (to the right). The image features Intermap’s RADAR imagery and elevation data. The RADAR image was colorized using the elevation values, and then draped in 3D over the digital elevation model using Leica Geosystems ERDAS Virtual GIS.

For more information on Intermap’s products and services, please visit us on the Web at www.intermaptechnologies.com or call us at 303-708-0955.

Foreword

937 Remote Sensing and GIS for Urban Analysis: An Introduction
Xiaojun Yang

Peer-Reviewed Articles (Click the linked titles to see the full abstract)

957 Mapping Urban Extent Using Satellite Radar Interferometry
William Grey and Adrian Luckman

The high accuracy of urban mapping by ERS interferometric coherence is demonstrated and validated in south Wales, United Kingdom.

963 A Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery
Nancy Thomas, Chad Hendrix, and Russell G. Congalton

An overview of a project in which one-meter digital imagery was used to produce a map of pervious and impervious surfaces to be used by the city of Scottsdale, Arizona for storm-water runoff estimation is provided.

973 Synergistic Use of Lidar and Color Aerial Photography for Mapping Urban Parcel Imperviousness
Michael E. Hodgson, John R. Jensen, Jason A. Tullis, Kevin D. Riordan, and Clark M. Archer

A comparative analysis of pixel-level (maximum-likelihood, ISODATA, and See5) and segment-level (See5) classifiers is presented for mapping urban parcel imperviousness from color aerial photography fused with lidar-derived cover height.

981 Comparing ARTMAP Neural Network with the Maximum-Likelihood Classifier for Detecting Urban Change
Karen C. Seto and Weiguo Liu

An ARTMAP neural network was used to identify urban land-use change with different class resolutions; it generated more accurate results when compared to a Bayesian maximum-likelihood classifier.

991 Spatial Metrics and Image Texture for Mapping Urban Land Use
Martin Herold, XiaoHang Liu, and Keith C. Clarke

Spatial metrics and image texture are used to describe and map the spatial characteristics of urban land-cover objects to derive detailed land-use information from Ikonos data.

1003 Urban Land-Cover Change Detection through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data
Limin Yang, George Xian, Jacqueline M. Klaver, and Brian Deal

An approach was developed to detect urban land-cover changes by quantifying temporal change of a sub-pixel percent impervious surface using Landsat and high-resolution imagery.

1011 Measuring the Physical Composition of Urban Morphology Using Multiple Endmember Spectral Mixture Models
Tarek Rashed, John R. Weeks, Dar Roberts, John Rogan, and Rebecca Powell

The results showed that a majority of the image could be modeled successfully with two- or three-endmember models.

1021 A Housing-Unit-Level Approach to Characterizing Residential Sprawl
John Hasse and Richard G. Lathrop

Spatial measurements of new housing units provide a means for assessing the degree to which new residential development can be characterized as sprawling.

1031 Modeling Urban Population Growth from Remotely Sensed Imagery and TIGER GIS Road Data
Fang Qiu, Kevin L. Woller, and Ronald Briggs

Population growth from 1990 to 2000 in the north Dallas-Fort Worth Metroplex is estimated at both city and census-tract levels based on land-use changes detected from multi-temporal remotely sensed images and from new road development measured from TIGER road data using a GIS.

1043 Simulation of Development Alternatives Using Neural Networks, Cellular Automata, and GIS for Urban Planning
Anthony Gar-On Yeh and Xia Li

The simulation can help planners and decision makers to test and compare what can be gained under different planning objectives, such as smart urban growth and sustainable urban development.

1053 Land-Use and Land-Cover Change, Urban Heat Island Phenomenon, and Health Implications: A Remote Sensing Approach
C.P. Lo and Dale A. Quattrochi

Satellite remote sensing is applied to study the impact of land-use/land-cover change on the health of the population in Atlanta, Georgia.

Announcements
940 Call for Papers — PE&RS Special Issue on Mobile Mapping Systems
945 Terrain Data: Applications and Visualization — Making the Connection

Columns & Updates
941 Nighttime Urban Imagery from International Space Station: Potential Applications for Urban Analyses and Modeling
943 Grids & Datums — Antigua and Barbuda
948 Headquarters News
950 Industry News

Departments
948 New Member List
953 Who’s Who in ASPRS
954 Sustaining Members
956 New Sustaining Member
956 Advertiser Index
962 Forthcoming Articles
1002 Instructions to Authors
1064 Calendar
1065 Classifieds
1067 Bookstore
1071 Professional Directory
1075 Membership Application

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