Remote Sensing: The Image Chain Approach (Oxford Series in Optical and Imaging Sciences) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Bibliographic Details

Title: Remote Sensing: The Image Chain Approach (Oxford Series in Optical and Imaging Sciences)
Publisher: OUP USA
Publication Date: 1997
Language: English
ISBN 10: 0195087267
ISBN 13: 9780195087260
Binding: Hardcover
Condition: Very Good

About this title

Synopsis

Remote Sensing is a unique advanced text which covers the fundamental science underlying the rapidly growing field of remote sensing. Unlike similar books, which focus on one aspect of remote sensing, it treats the subject as a continuous process, including energy-matter interaction, radiation propagation, and data dissemination, and emphasizes the tools and procedures required to extract information from remotely sensed data using the image chain approach. Using the image chain analogy, the component processes are linked together using a common quantitative terminology that can be used to study physical parameters (e.g., reflectance and temperature) that are related to the type and condition of land cover features. This approach has evolved from over a decade of the author's teaching experience with undergraduate and graduate students and two decades of research and consulting experience on remote sensing problems for government and industry.
Remote Sensing is ideal as a first text in remote sensing for graduate students and advanced undergraduates in the physical or engineering sciences, and will also serve as a valuable reference for the many practitioners of remote sensing throughout government and industry who were trained in the traditional technical disciplines and need to know how to better apply them to the remote sensing process.

About the Author

John R. Schott is at Rochester Institute of Technology.

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