Remote Sensing of Impervious Surfaces (Taylor & Francis Series in Remote Sensing Applications)

496 Pages·2007·12.45 MB·English

by  Qihao Weng

Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page i 25.8.2007 6:06pm CompositorName:VBalamugundan
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page ii 25.8.2007 6:06pm CompositorName:VBalamugundan
Taylor & Francis Series in
Remote Sensing Applications
Series Editor
Qihao Weng
Indiana State University
Terre Haute, Indiana, U.S.A.
Remote Sensing of Impervious Surfaces, Qihao Weng
Multispectral Image Analysis Using the Object-Oriented Paradigm,
Kumar Nabulur
Hyperspectral Remote Sensing: Principles and Applications,
Marcus Borengasse
Remote Sensing of Land Use/Land Cover: Principles and Applications,
Chandra P. Giri
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page iii 25.8.2007 6:06pm CompositorName:VBalamugundan
Taylor & Francis Series in Remote Sensing Applications
Qihao Weng, Series Editor
Edited by
Qihao Weng
Boca Raton London New York
CRC Press is an imprint of the
Taylor & Francis Group, an informa business
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page iv 25.8.2007 6:06pm CompositorName:VBalamugundan
CRC Press
Taylor & Francis Group
6000 Broken Sound Parkway NW, Suite 300
Boca Raton, FL 33487-2742
© 2008 by Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Printed in the United States of America on acid-free paper
10 9 8 7 6 5 4 3 2 1
International Standard Book Number-13: 978-1-4200-4374-7 (Hardcover)
This book contains information obtained from authentic and highly regarded sources. Reprinted
material is quoted with permission, and sources are indicated. A wide variety of references are
listed. Reasonable efforts have been made to publish reliable data and information, but the author
and the publisher cannot assume responsibility for the validity of all materials or for the conse-
quences of their use.
No part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any
electronic, mechanical, or other means, now known or hereafter invented, including photocopying,
microfilming, and recording, or in any information storage or retrieval system, without written
permission from the publishers.
For permission to photocopy or use material electronically from this work, please access www.
copyright.com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC)
222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that
provides licenses and registration for a variety of users. For organizations that have been granted a
photocopy license by the CCC, a separate system of payment has been arranged.
Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and
are used only for identification and explanation without intent to infringe.
Library of Congress Cataloging-in-Publication Data
Remote sensing of impervious surfaces / edited by Qihao Weng.
p. cm.
Includes bibliographical references and index.
ISBN-13: 978-1-4200-4374-7
ISBN-10: 1-4200-4374-9
1. Pavements--Location--Remote sensing. 2. Buildings--Location--Remote
sensing. 3. Land use, Urban--Remote sensing. 4. Urban hydrology--Remote
sensing. I. Weng, Qihao. II. Title.
TE153.W46 2008
624--dc22 2007015254
Visit the Taylor & Francis Web site at
http://www.taylorandfrancis.com
and the CRC Press Web site at
http://www.crcpress.com
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page v 25.8.2007 6:06pm CompositorName:VBalamugundan
Contents
Editor........................................................................................................ ix
Contributors............................................................................................ xi
Remote Sensing of Impervious Surfaces: An Overview................... xv
Qihao Weng
Part I Digital Remote Sensing Methods
1. Estimating and Mapping Impervious Surface Area
by Regression Analysis of Landsat Imagery............................... 3
Marvin E. Bauer, Brian C. Loffelholz, andBruce Wilson
2. Subpixel Imperviousness Estimation with IKONOS
Imagery: An Artificial Neural Network Approach.................. 21
Rama PrasadaMohapatraand Changshan Wu
3. Mapping Impervious Surfaces Using Classification
and Regression Tree Algorithm.................................................. 39
George Xian
4. Mapping Urban Impervious Surfaces from Medium
and High Spatial Resolution Multispectral Imagery............... 59
Dengsheng Lu and Qihao Weng
Part II Technological Advances in Impervious
Surface Mapping
5. The SPLIT and MASC Models for Extraction of
Impervious Surface Areas from Multiple Remote
Sensing Data................................................................................. 77
Yeqiao Wang, Yuyu Zhou, and Xinsheng Zhang
v
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page vi 25.8.2007 6:06pm CompositorName:VBalamugundan
vi
6. Extracting Impervious Surface from Hyperspectral
Imagery with Linear Spectral Mixture Analysis...................... 93
Qihao Weng, Xuefei Hu,and DengshengLu
7. Separating Types of Impervious Land Cover
Using Fractals............................................................................. 119
Lindi J. Quackenbush
8. Fusion of Radar and Optical Data for Identification
of Human Settlements............................................................... 143
PaoloGambaand Fabio Dell’Acqua
Part III Transport-Related Impervious Surfaces
9. Transportation Infrastructure Extraction Using
Hyperspectral Remote Sensing................................................. 163
Ramanathan Sugumaran, James Gerjevic, andMatthew Voss
10. Road Extraction from SAR Imagery......................................... 179
Uwe Stilla, Stefan Hinz, Karin Hedman, and Birgit Wessel
11. Road Networks Derived from High Spatial Resolution
Satellite Remote Sensing Data................................................. 215
RenaudPe´teri and Thierry Ranchin
12. Spectral Characteristics of Asphalt Road Surfaces................ 237
Martin Herold
Part IV Roof-Related Impervious Surfaces
13. Urban 3D Building Model from LiDAR Data
and Digital Aerial Images......................................................... 251
Guoqing Zhou
14. Building Extraction from Aerial Imagery................................ 269
ArminGruen
15. SAR Images of Built-Up Areas: Models and Data
Interpretation.............................................................................. 297
Giorgio Franceschetti, Antonio Iodice,and DanieleRiccio
16. Roof Mapping Using Fused Multiresolution Optical
Satellite Images.......................................................................... 331
Yun Zhang and Travis Maxwell
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page vii 25.8.2007 6:06pm CompositorName:VBalamugundan
vii
Part V Impervious Surface Data Applications
17. Impervious Surface Area and Its Effect on Water
Abundance and Water Quality................................................. 353
Toby N. Carlson
18. Impervious Surface Area Dynamics and Storm
Runoff Response........................................................................ 369
Assefa M. Melesse and Xixi Wang
19. Growth of Impervious Surface Coverage
and Aquatic Fauna..................................................................... 387
Robert R. Gillies
20. Using Remotely Sensed Impervious Surface Data
to Estimate Population.............................................................. 409
Bingqing Liang, Qihao Weng, and Dengsheng Lu
Authors.................................................................................................. 431
Index....................................................................................................... 443
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page viii 25.8.2007 6:06pm CompositorName:VBalamugundan
Weng=RemoteSensingofImperviousSurfaces 43749_C000 FinalProof page ix 25.8.2007 6:06pm CompositorName:VBalamugundan
Editor
Qihao Weng was born in Fuzhou, China in
1964. He received an AS in geography from
MinjiangUniversityin1984,anMSinphysical
geographyfromSouthChinaNormalUniver-
sity in 1990, an MA in geography from the
University of Arizona in 1996, and a PhD in
geography from theUniversity of Georgia in
1999.Heiscurrentlyanassociateprofessorof
geography and director of the Center for
UrbanandEnvironmentalChangeatIndiana
State University, United States. He is also a
guest=adjunctprofessoratWuhanUniversity
and Beijing Normal University, China. His
research focuses on remote sensing and geo-
graphicinformationsystemanalysisofurban
ecological and environmental systems, land-
useandland-coverchange,urbanizationimpacts,andhuman–environment
interactions. Dr Weng is the author of more than 75 peer-reviewed journal
articlesandotherpublications,andisserieseditorforTaylor&FrancisSeriesin
Remote Sensing Applications. He has published the books of Urban Remote
Sensing (October 2006) and Remote Sensing of Impervious Surfaces (October
2007) by CRC Press, an imprint of Taylor & Francis. In September 2006, he
coedited,withDaleA.Quattrocchi,aspecialissueofThermalRemoteSens-
ingofUrbanAreasinRemoteSensingofEnvironment.DrWenghasbeenthe
recipient of the Robert E. Altenhofen Memorial Scholarship Award by
the American Society for Photogrammetry and Remote Sensing (1999) and
theBestStudent-AuthoredPaperAwardfromtheInternationalGeographic
Information Foundation (1998). In 2006, he received the Theodore Dreiser
DistinguishedResearchAwardbyIndianaStateUniversity,theuniversity’s
highestresearchhonorbestowedtofaculty.Hehasworkedextensivelywith
optical and thermal remote sensing data, primarily for urban heat island
study,land-coverandimpervioussurfacemapping,urbangrowthdetection,
subpixelimageanalysis,andtheintegrationwithsocioeconomiccharacteri-
stics, with financial support from agencies that include: NSF, NASA,
USGS, USAID, National Geographic Society, and Indiana Department of
Natural Resources. Dr Weng is a national director of American Society for
PhotogrammetryandRemoteSensing(2007–2010).
ix