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Uncertainty in Remote Sensing and GIS
 
 
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Uncertainty in Remote Sensing and GIS [Hardcover]

Giles M. Foody (Editor), Peter M. Atkinson (Editor)

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Book Description

February 17, 2003 0470844086 978-0470844083 1
Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it.
This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made.
Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject:
* Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics
* Covers range of material from base overviews to specific applications
* Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GIS
Written by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.

Editorial Reviews

From the Back Cover

Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it.

This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made.

Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject:
* Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics
* Covers range of material from base overviews to specific applications
* Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GIS

Written by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
land cover mapping, ambiguity induced, silica accumulations, lone tree class, canopy stem density, fixed value analysis, acidity critical loads, accumulated exceedance, horizontal spatial variation, diffuse carbonates, deposition uncertainty, exceedance calculations, image chain approach, land cover proportions, richness predictions, geostatistical prediction, land cover features, emissivity parameter, production flowline, satellite sensor imagery, remote sensing process, deposition scenarios, critical load exceedance, nodular carbonates, biospheric change
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Journal of Remote Sensing, Monte Carlo, New York, Great Britain, Oxford University Press, John Wiley, Kilometres Figure, Value High, Cambridge University Press, Exploring Emissivity Uncertainty, Geospatial Model of Biodiversity, Exceedances of Acidity Critical Loads, Urban Areas, Academic Press, Jet Propulsion Laboratory, Kluwer Academic, Landsat Thematic Mapper, Entire Image, Proportion Figure, Current Status of Uncertainty Issues, Ann Arbor, Wild Grass, Cut Grass, Southern Oscillation, Comprehensive View
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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