Remote Sensing of Impervious Surfaces: 1st Edition (Hardback) book cover

Remote Sensing of Impervious Surfaces

1st Edition

Edited by Qihao Weng

CRC Press

488 pages | 16 Color Illus. | 174 B/W Illus.

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Hardback: 9781420043747
pub: 2007-10-03
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Description

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.

Reviews

". . . well-organized and the chapters well-written . . . will serve as a comprehensive treatment for impervious surface remote sensing neophytes, as well as a valuable reference for veteran researchers and practitioners."

– Daniel L. Civco, Department of Natural Resources Management and Engineering, University of Connecticut, in Photogrammetric Engineering & Remote Sensing, July 2008, Vol. 74, No. 7

Table of Contents

Introduction – Remote Sensing of Impervious Surfaces; Q. Weng

PART I: DIGITAL REMOTE SENSING METHODS

Estimating Percent Impervious Surfaces Using Multiple Regression; M. Bauer

Sub-pixel Algorithms for Impervious Surface Mapping; C.S. Wu

Mapping Impervious Surfaces Using Classification and Regression Tree Algorithm; G. Xian

Mapping Urban Impervious Surfaces from Medium and High Spatial Resolution Multispectral Imagery; D. Lu and Q. Weng

PART II: TECHNOLOGY ADVANCES IN IMPERVIOUS SURFACE MAPPING

A SPLIT Model for Extraction of Subpixel Impervious Surface Information; Y.Q. Wang

Use of Hyperspectral Imagery for Extracting Impervious Surface Data; Q. Weng and X. Hu

Separation of Roads and Roofs Using Fractals; L.J. Quackenbush

Fusion of Radar and Optical Data For Identification of Man-Made Structures; P. Gamba

PART III: TRANSPORT-RELATED IMPERVIOUS SURFACES

Extraction of Transportation Infrastructure From Hyperspectral Data; R. Sugumaran

Road Extraction From SAR Imagery; U. Stilla

Road Networks Derived From High Spatial Resolution Satellite Remote Sensing Data; R. Peteri

Spectral Characteristics of Asphalt Roads; M. Herold

PART IV: ROOF-RELATED IMPERVIOUS SURFACES

Urban 3D Building Model From LIDAR Data and Aerial Images; G. Zhou

Building Extraction From Aerial Imagery; A. Gruen

SAR Images of Built-Up Areas: Models and Data Elaborations; G. Franceschetti

Multi-scale Roof Mapping Using Fused Multi-Resolution Optical Satellite Images; Y. Zhang

     

PART V: IMPERVIOUS SURFACE DATA APPLICATIONS

Impervious Surface Area and Its Effect On Water Quality and Water Abundance; T. Carlson

Impervious Surface Data for Hydrological Modeling of Water Flow; A.M. Melesse

The Growth of Impervious Surface Coverage and Aquatic Fauna; R.R. Gillies

Using Remotely Sensed Impervious Surface Data to Estimate Population; B. Liang, Q. Weng, and D. Lu

About the Originator

About the Series

Remote Sensing Applications Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
TEC009010
TECHNOLOGY & ENGINEERING / Chemical & Biochemical
TEC015000
TECHNOLOGY & ENGINEERING / Imaging Systems
TEC036000
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems