Uncertainty in remote sensing and GIS / edited by Giles M. Foody and Peter M. Atkinson.

Format:

Book

Contributor:

Foody, Giles M.

Atkinson, Peter M.

Language:

English

Subjects (All):

Remote sensing.

Geographic information systems.

Uncertainty (Information theory).

Physical Description:

xviii, 307 pages, 4 unnumbered pages of plates : illustrations (some color), maps (some color) ; 26 cm

Place of Publication:

Chichester ; Hoboken, NJ : Wiley, [2002]

Summary:

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.

Contents:

1 Uncertainty in Remote Sensing and GIS: Fundamentals / P. M. Atkinson, G. M. Foody 1

2 Uncertainty in Remote Sensing / C. E. Woodcock 19

3 Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis / J. L. Dungan 25

4 On the Ambiguity Induced by a Remote Sensor's PSF / J. F. Manslow, M. S. Nixon 37

5 Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas / Q. Zhan, M. Molenaar, A. Lucieer 59

6 Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network / A. J. Tatem, H. G. Lewis, P. M. Atkinson, M. S. Nixon 77

7 Uncertainty in Land Cover Mapping from Remotely Sensed Data using Textural Algorithm and Artificial Neural Networks / A. M. Jakomulska, J. P. Radomski 99

8 Remote Monitoring of the Impact of ENSO-related Drought on Sabah Rainforest using NOAA AVHRR Middle Infrared Reflectance: Exploring Emissivity Uncertainty / D. S. Boyd, P. C. Phipps, W. J. Duane, G. M. Foody 119

9 Land Cover Map 2000 and Meta-data at the Land Parcel Level / G. M. Smith, R. M. Fuller 143

10 Analysing Uncertainty Propagation in GIS: Why is it not that Simple? / G. B. M. Heuvelink 155

11 Managing Uncertainty in a Geospatial Model of Biodiversity / A. J. Warren, M. J. Collins, E. A. Johnson, P. F. Ehlers 167

12 The Effects of Uncertainty in Deposition Data on Predicting Exceedances of Acidity Critical Loads for Sensitive UK Ecosystems / E. Heywood, J. R. Hall, R. A. Wadsworth 187

13 Vertical and Horizontal Spatial Variation of Geostatistical Prediction / A. Wameling 209

14 Geostatistical Prediction and Simulation of the Lateral and Vertical Extent of Soil Horizons / B. Warr, I. O. A. Odeh, M. A. Oliver 223

15 Increasing the Accuracy of Predictions of Monthly Precipitation in Great Britain using Kriging with an External Drift / C. D. Lloyd 243

16 Conditional Simulation Applied to Uncertainty Assessment in DTMs / J. Senegas, M. Schmitt, P. Nonin 269

17 Current Status of Uncertainty Issues in Remote Sensing and GIS / G. M. Foody, P. M. Atkinson 287.

Notes:

Includes bibliographical references and index.

ISBN:

0470844086

OCLC:

50906291