Remote Sensing of Impervious Surfaces

Qihao Weng

October 3, 2007 by CRC Press
Reference - 488 Pages - 16 Color & 174 B/W Illustrations
ISBN 9781420043747 - CAT# 43749
Series: Remote Sensing Applications Series


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  • Integrates recent advances such as high-resolution imagery and more powerful modeling tools into current methodologies
  • Explains how to estimate the percent of impervious surfaces using regression and various subpixel algorithms
  • Covers cutting-edge techniques for data extraction and analysis, including SPLIT modeling, hyperspectral imagery, fractal analysis, and integrated radar and optical data
  • Explains how to identify road networks using SAR imagery, high spatial resolution satellite images, and spectral characteristics
  • Discusses the three-dimensional modeling of buildings using LIDAR data in conjunction with aerial, SAR, and satellite images
  • 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.