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Remote Sensing for Sustainable Management ©2001 CRC Press LLC Remote Sensing for Sustainable Management Steven E. Franklin LEWIS PUBLISHERS Boca Raton London New York Washington, D.C. ©2001 CRC Press LLC Library of Congress Cataloging-in-Publication Data Franklin, Steven E. Remote sensing for sustainable forest management / Steven E. Franklin. p. cm. Includes bibliographical references and index (p. ). ISBN 1-56670-394-8 (alk. paper) 1. Sustainable forestry—Remote sensing. 2. Forest management. I. Title. SD387.R4 F73 2001 634.9¢2¢028—dc21 2001029505 CIP 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 consequences of their use. Neither this book nor any part may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, microfilming, and recording, or by any information storage or retrieval system, without prior permission in writing from the publisher. The consent of CRC Press LLC does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific permission must be obtained in writing from CRC Press LLC for such copying. Direct all inquiries to CRC Press LLC, 2000 N.W. Corporate Blvd., Boca Raton, Florida 33431. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation, without intent to infringe. Visit the CRC Press Web site at www.crcpress.com © 2001 by CRC Press LLC Lewis Publishers is an imprint of CRC Press LLC No claim to original U.S. Government works International Standard Book Number 1-56670-394-8 Library of Congress Card Number 2001029505 Printed in the United States of America 1 2 3 4 5 6 7 8 9 0 Printed on acid-free paper ©2001 CRC Press LLC Dedication for Dawn Marie, Meghan, and Heather ©2001 CRC Press LLC Preface Remote sensing has been defined as the detection, recognition, or evaluation of objects by means of distant sensing or recording devices. In recent decades, remote sensing technology has emerged to support data collection and analysis methods of potential interest and importance in forest management. Historically, digital remote sensing developed quickly from the technology of aerial photography and photoin-terpretation science. In forestry, information extracted visually from aerial photo-graphs is well-understood, well-used, and integrated with field surveys. Information extracted from digital remote sensing data, on the other hand, is rarely used in forest management. It is thought that many remote sensing data and methods are complex, and are not well understood by those who might best use them. The technological infrastructure is not in place to make effective use of the data. The characteristics of much remote sensing data are, perhaps, not well suited to the problems that have preoccupied the forest management community. But forest management is changing. Today, forest management problems are multiscale and intricately linked to society’s need to measure, preserve, and manage for multiple forest values. Population growth and climate change appear likely to create continual pressure on forests, making their preservation, even over relatively short time periods, seem largely in doubt. Human activities threaten the continued physical existence, biodiversity, and functioning of forests. It is probable that no forest on the planet can survive intact without conscious human decision making, and actual on-the-ground treatments and prescriptions that consider ecological pro-cesses and functioning. The forest ecosystem is complex and multifaceted; under-standing how forest ecosystems work requires new types of data, and data at a range of spatial and temporal scales not often contemplated. Remote sensing information needs to be integrated with other spatial and nonspatial data sets to form the infor-mation base upon which sound forest management decisions can be made. The goal is to predict the effects of human activities and natural processes on forests, and to promote forest practices that will ensure the world’s forests are sustainable. A major issue facing those with forest management questions is not simply the collection of data, but rather the interpretation of information extracted from those data. Converting remote sensing data to information is no simple task. Remote sensing measurements have a physical or statistical relationship to the forest condi-tions of interest which may be uneconomical, impractical, or impossible to measure directly over large areas. The remote sensing technological approach is an applied perspective — applying remote sensing knowledge to satisfy information needs motivated by a strong desire to understand the implications of management while there is still time to learn from prescriptions and to understand forest conditions and processes. A survey of the field of remote sensing in sustainable forest management may help those in direct operational contact with forests to better understand the ©2001 CRC Press LLC ... - tailieumienphi.vn
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