Urban Remote Sensing  Monitoring, Synthesis and Modeling in the Urban Environment Cover

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

ISBN/ASIN: 9780470749586,9780470979563 | 2011 | English | pdf | 388/388 pages | 125 Mb

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.Content:
Chapter 1 What is Urban Remote Sensing? (pages 3–11): Xiaojun Yang
Chapter 2 Use of Archival Landsat Imagery to Monitor Urban Spatial Growth (pages 15–33): Xiaojun Yang
Chapter 3 Limits and Challenges of Optical Very?High?Spatial?Resolution Satellite Remote Sensing for Urban Applications (pages 35–48): Paolo Gamba, Fabio Dell'Acqua, Mattia Stasolla, Giovanna Trianni and Gianni Lisini
Chapter 4 Potential of Hyperspectral Remote Sensing for Analyzing the Urban Environment (pages 49–61): Sigrid Roessner, Karl Segl, Mathias Bochow, Uta Heiden, Wieke Heldens and Hermann Kaufmann
Chapter 5 Very?High?Resolution Spaceborne Synthetic Aperture Radar and Urban Areas: Looking into Details of a Complex Environment (pages 63–73): Fabio Dell'Acqua, Paolo Gamba and Diego Polli
Chapter 6 3D Building Reconstruction from Airborne Lidar Point Clouds Fused with Aerial Imagery (pages 75–91): Jonathan Li and Haiyan Guan
Chapter 7 Parameterizing Neural Network Models to Improve Land Classification Performance (pages 95–110): Xiaojun Yang and Libin Zhou
Chapter 8 Characterizing Urban Subpixel Composition Using Spectral Mixture Analysis (pages 111–128): Rebecca Powell
Chapter 9 An Object?Oriented Pattern Recognition Approach for Urban Classification (pages 129–140): Soe W. Myint and Douglas Stow
Chapter 10 Spatial Enhancement of Multispectral Images on Urban Areas (pages 141–154): Bruno Aiazzi, Stefano Baronti, Luca Capobianco, Andrea Garzelli and Massimo Selva
Chapter 11 Exploring the Temporal Lag Between the Structure and Function of Urban Areas (pages 155–162): Victor Mesev
Chapter 12 A Pluralistic Approach to Defining and Measuring Urban Sprawl (pages 165–181): Amnon Frenkel and Daniel Orenstein
Chapter 13 Small Area Population Estimation with High?Resolution Remote Sensing and Lidar (pages 183–193): Le Wang and Jose?Silvan Cardenas
Chapter 14 Dasymetric Mapping for Population and Sociodemographic Data Redistribution (pages 195–210): James B. Holt and Hua Lu
Chapter 15 Who's in the Dark—Satellite Based Estimates of Electrification Rates (pages 211–224): Christopher D. Elvidge, Kimberly E. Baugh, Paul C. Sutton, Budhendra Bhaduri, Benjamin T. Tuttle, Tilotamma Ghosh, Daniel Ziskin and Edward H. Erwin
Chapter 16 Integrating Remote Sensing and GIS for Environmental Justice Research (pages 225–237): Jeremy Mennis
Chapter 17 Remote Sensing of High Resolution Urban Impervious Surfaces (pages 241–254): Changshan Wu and Fei Yuan
Chapter 18 Use of Impervious Surface Data Obtained from Remote Sensing in Distributed Hydrological Modeling of Urban Areas (pages 255–273): Frank Canters, Okke Batelaan, Tim Van de Voorde, Jaroslaw Chormanski and Boud Verbeiren
Chapter 19 Impacts of Urban Growth on Vegetation Carbon Sequestration (pages 275–286): Tingting Zhao
Chapter 20 Characterizing Biodiversity in Urban Areas Using Remote Sensing (pages 287–304): Marcus Hedblom and Ulla Mortberg
Chapter 21 Urban Weather, Climate and Air Quality Modeling: Increasing Resolution and Accuracy Using Improved Urban Morphology (pages 305–319): Susanne Grossman?Clarke, William L. Stefanov and Joseph A. Zehnder
Chapter 22 Cellular Automata and Agent Base Models for Urban Studies: From Pixels to Cells to Hexa?dpi's (pages 323–334): Elisabete A. Silva
Chapter 23 Calibrating and Validating Cellular Automata Models of Urbanization (pages 335–345): Paul M. Torrens
Chapter 24 Agent?Based Urban Modeling: Simulating Urban Growth and Subsequent Landscape Change in Suzhou, China (pages 347–357): Yichun Xie and Xining Yang
Chapter 25 Ecological Modeling in Urban Environments: Predicting Changes in Biodiversity in Response to Future Urban Development (pages 359–370): Jeffrey Hepinstall?Cymerman
Chapter 26 Rethinking Progress in Urban Analysis and Modeling: Models, Metaphors, and Meaning (pages 371–382): Daniel Z. Sui

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