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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010264125 | HT166 U736 2011 f | Open Access Book | Book | Searching... |
Searching... | 30000010264126 | HT166 U736 2011 f | Open Access Book | Book | Searching... |
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Summary
Summary
Urban Remote Sensing is designed for upper level undergraduates, graduates, researchers and practitioners, and has a 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.
Author Notes
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).
Table of Contents
| List of Contributors |
| Author's Biography |
| Preface |
| Part 1 Introduction |
| 1 What is urban remote sensing?Xiaojun Yang |
| Part 2 Remote Sensing Systems For Urban Areas |
| 2 Use of archival Landsat imagery to monitor urban spatial growthXiaojun Yang |
| 3 Limits and challenges of optical very-high-spatial-resolution satellite remote sensing for urban applicationsPaolo Gamba and Fabio Dell'Acqua and Mattia Stasolla and Giovanna Trianni and Gianni Lisini |
| 4 Potential of hyperspectral remote sensing for analyzing the urban environmentSigrid Roessner and Karl Segl and Mathias Bochow and Uta Heiden and Wieke Heldens and Hermann Kaufmann |
| 5 Very-high-resolution spaceborne synthetic aperture radar and urban areas: looking into details of a complex environmentFabio Dell'Acqua and Paolo Gamba and Diego Polli |
| 6 3D building reconstruction from airborne lidar point clouds fused with aerial imageryJonathan Li and Haiyan Guan |
| Part 3 Algorithms And Techniques For Urban Attribute Extraction |
| 7 Parameterizing neural network models to improve land classification performanceXiaojun Yang and Libin Zhou |
| 8 Characterizing urban subpixel composition using spectral mixture analysisRebecca Powell |
| 9 An object-oriented pattern recognition approach for urban classificationSoe W. Myint and Douglas Stow |
| 10 Spatial enhancement of multispectral images on urban areasBruno Aiazzi and Stefano Baronti and Luca Capobianco and Andrea Garzelli and Massimo Selva |
| 11 Exploring the temporal lag between the structure and function of urban areasVictor Mesev |
| Part 4 Urban Socioeconomic Analyses |
| 12 A pluralistic approach to defining and measuring urban sprawlAmnon Frenkel and Daniel Orenstein |
| 13 Small area population estimation with high-resolution remote sensing and lidarLe Wang and Jose-Silvan Cardenas |
| 14 Dasymetric mapping for population and sociodemographic data redistributionJames B. Holt and Hua Lu |
| 15 Who's in the dark-satellite based estimates of electrification ratesChristopher D.Elvidge and Kimberly E. Baugh and Paul C. Sutton and Budhendra Bhaduri and Benjamin T. Tuttle and Tilotamma Ghosh and Daniel Ziskin and Edward H. Erwin |
| 16 Integrating remote sensing and GIS for environmental justice researchJeremy Mennis |
| Part 5 Urban Environmental Analyses |
| 17 Remote sensing of high resolution urban impervious surfacesChangshan Wu and Fei Yuan |
| 18 Use of impervious surface data obtained from remote sensing in distributed hydrological modeling of urban areasFrank Canters and Okke Batelaan and Tim Van and de Voorde and Jaroslaw Chorma'nski and Boud Verbeiren |
| 19 Impacts of urban growth on vegetation carbon sequestrationTingting Zhao |
| 20 Characterizing biodiversity in urban areas using remote sensingMarcus Hedblom and Ulla Mortberg |
| 21 Urban weather, climate and air quality modeling: increasing resolution and accuracy using improved urban morphologySusanne Grossman-Clarke and William L. Stefanov and Joseph A. Zehnder |
| Part 6 Urban Growth And Landscape Change Modeling |
| 22 Cellular automata and agent base models for urban studies: from pixels to cells to hexa-dpi'sElisabete A. Silva |
| 23 Calibrating and validating cellular automata models of urbanizationPaul M. Torrens |
| 24 Agent-based urban modeling:simulating urban growth and subsequent landscape change in suzhou, chinaYichun Xie and Xining Yang |
| 25 Ecological modeling in urban environments: predicting changes in biodiversity in response to future urban developmentJeffrey Hepinstall-Cymerman |
| 26 Rethinking progress in urban analysis and modeling: models, metaphors, and meaningDaniel Z. Sui |
| Index. |
