Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment [NOOK Book]

Overview

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 ...
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Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment

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Overview

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.
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Editorial Reviews

From the Publisher
“This book is a great addition to the very few books on urban remote sensing.” (Photogrammetric Engineering and Remote Sensing, 1 March 2013)

"This excellent textbook provides a thorough grounding in the uses and types of remote sensing techniques employed for analyzing population, energy use, and other aspects of the urban environment." (Book News, 1 August 2011)

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Product Details

  • ISBN-13: 9780470979891
  • Publisher: Wiley
  • Publication date: 3/23/2011
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 408
  • File size: 52 MB
  • Note: This product may take a few minutes to download.

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 growth (Xiaojun Yang).

3 Limits and challenges of optical very-high-spatial-resolution satellite remote sensing for urban applications (Paolo Gamba, Fabio Dell'Acqua, Mattia Stasolla, Giovanna Trianni and Gianni Lisini).

4 Potential of hyperspectral remote sensing for analyzing the urban environment (Sigrid Roessner, Karl Segl, Mathias Bochow, Uta Heiden, Wieke Heldens and Hermann Kaufmann).

5 Very-high-resolution spaceborne synthetic aperture radar and urban areas: looking into details of a complex environment (Fabio Dell'Acqua, Paolo Gamba and Diego Polli).

6 3D building reconstruction from airborne lidar point clouds fused with aerial imagery (Jonathan Li and Haiyan Guan).

PART 3 ALGORITHMS AND TECHNIQUES FOR URBAN ATTRIBUTE EXTRACTION.

7 Parameterizing neural network models to improve land classification performance (Xiaojun Yang and Libin Zhou).

8 Characterizing urban subpixel composition using spectral mixture analysis (Rebecca Powell).

9 An object-oriented pattern recognition approach for urban classification (Soe W. Myint and Douglas Stow).

10 Spatial enhancement of multispectral images on urban areas (Bruno Aiazzi, Stefano Baronti, Luca Capobianco, Andrea Garzelli and Massimo Selva).

11 Exploring the temporal lag between the structure and function of urban areas (Victor Mesev).

PART 4 URBAN SOCIOECONOMIC ANALYSES.

12 A pluralistic approach to defining and measuring urban sprawl (Amnon Frenkel and Daniel Orenstein).

13 Small area population estimation with high-resolution remote sensing and lidar (Le Wang and Jose-Silvan Cardenas).

14 Dasymetric mapping for population and sociodemographic data redistribution (James B. Holt and Hua Lu).

15 Who's in the dark-satellite based estimates of electrification rates (Christopher D.Elvidge, Kimberly E. Baugh, Paul C. Sutton, Budhendra Bhaduri, Benjamin T. Tuttle, Tilotamma Ghosh, Daniel Ziskin and Edward H. Erwin).

16 Integrating remote sensing and GIS for environmental justice research (Jeremy Mennis).

PART 5 URBAN ENVIRONMENTAL ANALYSES.

17 Remote sensing of high resolution urban impervious surfaces (Changshan Wu and Fei Yuan).

18 Use of impervious surface data obtained from remote sensing in distributed hydrological modeling of urban areas (Frank Canters, Okke Batelaan, Tim Van de Voorde, Jaroslaw Chormanski and Boud Verbeiren).

19 Impacts of urban growth on vegetation carbon sequestration (Tingting Zhao).

20 Characterizing biodiversity in urban areas using remote sensing (Marcus Hedblom and Ulla Mortberg).

21 Urban weather, climate and air quality modeling: increasing resolution and accuracy using improved urban morphology (Susanne Grossman-Clarke, 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's (Elisabete A. Silva).

23 Calibrating and validating cellular automata models of urbanization (Paul M. Torrens).

24 Agent-based urban modeling:simulating urban growth and subsequent landscape change in suzhou, china (Yichun Xie and Xining Yang).

25 Ecological modeling in urban environments: predicting changes in biodiversity in response to future urban development (Jeffrey Hepinstall-Cymerman).

26 Rethinking progress in urban analysis and modeling: models, metaphors, and meaning (Daniel Z. Sui).

Index.

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