Remote Sensing of Forest Environments

Concepts and Case Studies

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Last edited by MARC Bot
July 6, 2019 | History

Remote Sensing of Forest Environments

Concepts and Case Studies

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Remote Sensing of Forest Environments: Concepts and Case Studies is an edited volume intended to provide readers with a state-of-the-art synopsis of the current methods and applied applications employed in remote sensing the world's forests. The contributing authors have sought to illustrate and deepen our understanding of remote sensing of forests, providing new insights and indicating opportunities that are created when forests and forest practices are considered in concert with the evolving paradigm of remote sensing science. Following background and methods sections, this book introduces a series of case studies that exemplify the ways in which remotely sensed data are operationally used, as an element of the decision-making process, and in the scientific study of forests. Remote Sensing of Forest Environments: Concepts and Case Studies is designed to meet the needs of a professional audience composed of both practitioners and researchers. This book is also suitable as a secondary text for graduate-level students in Forestry, Environmental Science, Geography, Engineering, and Computer Science.

Publish Date
Publisher
Springer US
Language
English
Pages
519

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Previews available in: English

Edition Availability
Cover of: Remote Sensing of Forest Environments
Remote Sensing of Forest Environments: Concepts and Case Studies
2003, Springer US
electronic resource : in English

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Book Details


Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Boston, MA

Classifications

Dewey Decimal Class
006.6, 006.37
Library of Congress
TA1637-1638, TA1637-1638TA1634SD1, TA1634

The Physical Object

Format
[electronic resource] :
Pagination
1 online resource (xv, 519 p.)
Number of pages
519

ID Numbers

Open Library
OL27085256M
Internet Archive
remotesensingfor00wuld
ISBN 10
146135014X, 146150306X
ISBN 13
9781461350149, 9781461503064
OCLC/WorldCat
852791556

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July 6, 2019 Created by MARC Bot import new book