Remote Sensing of Impervious Surfaces

by Weng; Qihao

• ISBN13: 9781420043747
• ISBN10: 1420043749
• eBook ISBN(s): 9781040206676
• Format: Hardcover
• Copyright: 2007-10-03
• Publisher: CRC Press
• More Book Details

Summary

Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, and modeling techniques specific to analyzing impervious surfaces, such as roads and buildings.Written by renowned experts in the field, this book reviews the major approaches that apply to this emerging field as well as current challenges, developments, and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis, the book explains how to differentiate roads, roofs, and other manmade structures from remotely sensed images for individual analysis.The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population, land use, resource distribution, and other real-world applications in environmental, urban, and regional planning. Each chapter offers a consistent format including a concise review of basic concepts and methodologies, timely case studies, and guidance for solving problems and analyzing data using the techniques presented.

Table of Contents

Editor	p. ix
Contributors	p. xi
Remote Sensing of Impervious Surfaces: An Overview	p. xv
Digital Remote Sensing Methods
Estimating and Mapping Impervious Surface Area by Regression Analysis of Landsat Imagery	p. 3
Subpixel Imperviousness Estimation with IKONOS Imagery: An Artificial Neural Network Approach	p. 21
Mapping Impervious Surfaces Using Classification and Regression Tree Algorithm	p. 39
Mapping Urban Impervious Surfaces from Medium and High Spatial Resolution Multispectral Imagery	p. 59
Technological Advances in Impervious Surface Mapping
The SPLIT and MASC Models for Extraction of Impervious Surface Areas from Multiple Remote Sensing Data	p. 77
Extracting Impervious Surface from Hyperspectral Imagery with Linear Spectral Mixture Analysis	p. 93
Separating Types of Impervious Land Cover Using Fractals	p. 119
Fusion of Radar and Optical Data for Identification of Human Settlements	p. 143
Transport-Related Impervious Surfaces
Transportation Infrastructure Extraction Using Hyperspectral Remote Sensing	p. 163
Road Extraction from SAR Imagery	p. 179
Road Networks Derived from High Spatial Resolution Satellite Remote Sensing Data	p. 215
Spectral Characteristics of Asphalt Road Surfaces	p. 237
Roof-Related Impervious Surfaces
Urban 3D Building Model from LiDAR Data and Digital Aerial Images	p. 251
Building Extraction from Aerial Imagery	p. 269
SAR Images of Built-Up Areas: Models and Data Interpretation	p. 297
Roof Mapping Using Fused Multiresolution Optical Satellite Images	p. 331
Impervious Surface Data Applications
Impervious Surface Area and Its Effect on Water Abundance and Water Quality	p. 353
Impervious Surface Area Dynamics and Storm Runoff Response	p. 359
Growth of Impervious Surface Coverage and Aquatic Fauna	p. 337
Using Remotely Sensed Impervious Surface Data to Estimate Population	p. 409
Authors	p. 431
Index	p. 443
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