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

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 YangChapter 2 Use of Archival Landsat Imagery to Monitor Urban Spatial Growth (pages 15–33): Xiaojun YangChapter 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 LisiniChapter 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 KaufmannChapter 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 PolliChapter 6 3D Building Reconstruction from Airborne Lidar Point Clouds Fused with Aerial Imagery (pages 75–91): Jonathan Li and Haiyan GuanChapter 7 Parameterizing Neural Network Models to Improve Land Classification Performance (pages 95–110): Xiaojun Yang and Libin ZhouChapter 8 Characterizing Urban Subpixel Composition Using Spectral Mixture Analysis (pages 111–128): Rebecca PowellChapter 9 An Object?Oriented Pattern Recognition Approach for Urban Classification (pages 129–140): Soe W. Myint and Douglas StowChapter 10 Spatial Enhancement of Multispectral Images on Urban Areas (pages 141–154): Bruno Aiazzi, Stefano Baronti, Luca Capobianco, Andrea Garzelli and Massimo SelvaChapter 11 Exploring the Temporal Lag Between the Structure and Function of Urban Areas (pages 155–162): Victor MesevChapter 12 A Pluralistic Approach to Defining and Measuring Urban Sprawl (pages 165–181): Amnon Frenkel and Daniel OrensteinChapter 13 Small Area Population Estimation with High?Resolution Remote Sensing and Lidar (pages 183–193): Le Wang and Jose?Silvan CardenasChapter 14 Dasymetric Mapping for Population and Sociodemographic Data Redistribution (pages 195–210): James B. Holt and Hua LuChapter 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. ErwinChapter 16 Integrating Remote Sensing and GIS for Environmental Justice Research (pages 225–237): Jeremy MennisChapter 17 Remote Sensing of High Resolution Urban Impervious Surfaces (pages 241–254): Changshan Wu and Fei YuanChapter 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 VerbeirenChapter 19 Impacts of Urban Growth on Vegetation Carbon Sequestration (pages 275–286): Tingting ZhaoChapter 20 Characterizing Biodiversity in Urban Areas Using Remote Sensing (pages 287–304): Marcus Hedblom and Ulla MortbergChapter 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. ZehnderChapter 22 Cellular Automata and Agent Base Models for Urban Studies: From Pixels to Cells to Hexa?dpi's (pages 323–334): Elisabete A. SilvaChapter 23 Calibrating and Validating Cellular Automata Models of Urbanization (pages 335–345): Paul M. TorrensChapter 24 Agent?Based Urban Modeling: Simulating Urban Growth and Subsequent Landscape Change in Suzhou, China (pages 347–357): Yichun Xie and Xining YangChapter 25 Ecological Modeling in Urban Environments: Predicting Changes in Biodiversity in Response to Future Urban Development (pages 359–370): Jeffrey Hepinstall?CymermanChapter 26 Rethinking Progress in Urban Analysis and Modeling: Models, Metaphors, and Meaning (pages 371–382): Daniel Z. Sui