Analysis of Urban Growth and Sprawl from Remote Sensing Data
This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles the views of numerous researchers which help in understanding urban growth and sprawl; their patte
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Basudeb Bhatta
Analysis of Urban Growth and Sprawl from Remote Sensing Data
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Dr. Basudeb Bhatta Jadavpur University Dept. Computer Science & Engineering Computer Aided Design Centre Kolkata-700032 India [email protected] [email protected]
ISSN 1867-2434 e-ISSN 1867-2442 ISBN 978-3-642-05298-9 e-ISBN 978-3-642-05299-6 DOI 10.1007/978-3-642-05299-6 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2010920838 © Springer-Verlag Berlin Heidelberg 2010 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: Bauer, Thomas Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Chandrani and Bagmi
Preface
Urban growth and sprawl is a pertinent topic for analysis and assessment towards the sustainable development of a city. Environmental impacts of urban growth and extent of urban problems have been growing in complexity and relevance, generating strong imbalances between the city and its hinterland. The need to address this complexity in assessing and monitoring the urban planning and management processes and practices is strongly felt in the recent years. Determining the rate of urban growth and urban spatial configuration, from remote sensing data, is a prevalent approach in contemporary urban geographic studies. Maps of growth and a classified urban structure derived from remotely sensed data can assist planners to visualise the trajectories of their cities, their underlying systems, functions, and structures. There are currently a number of applications of analytical methods and models available to cities by using the remote sensing data and geographic information system (GIS) techniques, in specific—for mapping, monitoring, measuring, analysing, and modelling. The international participants are increasingly engaged with the urgent environmental tasks for the sustainable development of their urban regions, the planning challenges faced by the local authorities, and the application of remote sensing data and GIS techniques in the analysis of urban growth to meet these challenges. However, despite the promise of new and fast-developing remote sensing technologies, a gap e
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