Urban Remote Sensing Monitoring, Synthesis

Urban Remote Sensing is designed for upper level undergraduates, graduates, researchers and practitioners, and will be the first to be written with the clear focus on the development of remote sensing technology for monitoring, synthesis and modeling in the urban environment. It covers four major areas: the use of high-resolution satellite imagery or alternative sources of image date (such as high-resolution SAR and LIDAR) for urban feature extraction; the development of improved image processing algorithms and techniques for deriving accurate and consistent information on urban attributes from remote sensor data; the development of analytical techniques and methods for deriving indicators of socioeconomic and environmental conditions that prevail within urban landscape; and the development of remote sensing and spatial analytical techniques for urban growth simulation and predictive modeling.

Xiaojun Yang has authored or co-authored more than 70 publications including two edited volumes on urban remote sensing. He was a guest editor for ISPRS Journal of Photogrammetry and Remote Sensing, Photogrametrical Engineering and Remote Sensing, International Journal of Remote Sensing, and Computer, Environment and Urban Systems. Yang has been involved in organizing urban remote sensing sessions at the annual meetings of the Association of American Geographers (AAG) since 2001. This series of events has become a major urban remote sensing forum in USA. Yang currently serves as Chair of Commission on Mapping for Satellite Imagery, International Cartographic Association (ICA).

List of Contributors
Author's Biography
Preface
Introduction
What is urban remote sensing?
Remote Sensing Systems For Urban Areas
Use of archival Landsat imagery to monitor urban spatial growth
Limits and challenges of optical very-high-spatial-resolution satellite remote sensing for urban applications
Potential of hyperspectral remote sensing for analyzing the urban environment
Very-high-resolution spaceborne synthetic aperture radar and urban areas: looking into details of a complex environment
3D building reconstruction from airborne lidar point clouds fused with aerial imagery
Algorithms And Techniques For Urban Attribute Extraction
Parameterizing neural network models to improve land classification performance
Characterizing urban subpixel composition using spectral mixture analysis
An object-oriented pattern recognition approach for urban classification
Spatial enhancement of multispectral images on urban areas
Exploring the temporal lag between the structure and function of urban areas
Urban Socioeconomic Analyses
A pluralistic approach to defining and measuring urban sprawl
Small area population estimation with high-resolution remote sensing and lidar
Dasymetric mapping for population and sociodemographic data redistribution
Who's in the dark-satellite based estimates of electrification rates
Integrating remote sensing and GIS for environmental justice research
Urban Environmental Analyses
Remote sensing of high resolution urban impervious surfaces
Use of impervious surface data obtained from remote sensing in distributed hydrological modeling of urban areas
Impacts of urban growth on vegetation carbon sequestration
Characterizing biodiversity in urban areas using remote sensing
Urban weather, climate and air quality modeling: increasing resolution and accuracy using improved urban morphology
Urban Growth And Landscape Change Modeling
Cellular automata and agent base models for urban studies: from pixels to cells to hexa-dpi's
Calibrating and validating cellular automata models of urbanization
Agent-based urban modeling:simulating urban growth and subsequent landscape change in suzhou, china
Ecological modeling in urban environments: predicting changes in biodiversity in response to future urban development
Rethinking progress in urban analysis and modeling: models, metaphors, and meaning
Index.
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Urban Remote Sensing Monitoring, Synthesis and Modeling in the Urban Environment

Summary

Author Biography

Table of Contents

Supplemental Materials