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

496 Pages·2007·12.45 MB·English
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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

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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 deta
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