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-Title: People and Pixels. Linking Remote Sensing and Social Science.
-Authors:
Diana Liverman, Emilio F. Moran, Ronald R. Rindfuss, and Paul C. Stern (Edits.).
-Publisher:
National Academy Press.
-Pages:
244
-Illustrations:
B & W and color photos and graphics.
-Language:
English.
-Publication Date:
1998.
-ISBN: 0309064082

Front Cover

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EDITORIAL INFORMATION

The U.S. government has been collecting data about the earth's surface and atmosphere from planes and satellites for decades. As part of an effort to realize more of the apparent potential of remotely sensed data, NASA asked the National Research Council (NRC) to organize a workshop that would bring social scientists who have tried to use satellite data together with experts in remote sensing technology. The workshop included presentations on a variety of applications of remote sensing, as reflected in this volume. More tha 50 participants engaged in lively discussion about the presentations, the opportunities created by remotely sensed data for social science and related fields, and the limitations and pitfalls that can be encountered in trying to exploit those opportunities.

This volume includes revised versions of most of the presentations made at the workshop, as well as two overview chapters that identify major conceptual, methodological, and organizational issues faced by those who attempt to make greater use of remote sensing for social scientific and related purposes.

(Extracted from the preface).

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GENERAL TABLE OF CONTENTS

-Contents.
-Preface.
-1. Linking Remote Sensing and Social Science: The Need and the Challenges.
-2. A Brief History of Remote Sensing Applications, with Emphasis on Landsat.
-3. "Socializing the Pixel" and "Pixelizing the Social" in Land-Use and Land-Cover Change.
-4. Linking Satellite, Census, and Survey Data to Study Deforestation in the Brazilian Amazon.
-5. Land-Use Change After Deforestation in Amazonia.
-6. Land-Use/Land-Cover and Population Dynamics, Nang Rong, Thailand.
-7. Validating Prehistoric and Current Social Phenomena upon the Landscape of the Peten, Guatemala.
-8. Extraction and Modeling of Urban Attributes using Remote Sensing Technology.
-9. Social Science and Remote Sensing in Famine Early Warning.
-10. Health Applications of Remote Sensing and Climate Modeling.
-Appendix A. An Annotated Guide to Earth Remote Sensing Data and Information Resources for Social Science Applications.
-Appendix B. Glossary.
-Biographical Sketches of Contributors and Editors.

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