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.

Remote sensing and geographical information science (GIS) haveadvanced considerably in recent years. However, the potential ofremote sensing and GIS within the environmental sciences is limitedby uncertainty, especially in connection with the data sets andmethods used. In many studies, the issue of uncertainty has beenincompletely addressed. The situation has arisen in part from alack of appreciation of uncertainty and the problems it can causeas well as of the techniques that may be used to accommodateit.This book provides general overviews on uncertainty in remotesensing and GIS that illustrate the range of uncertainties that mayoccur, in addition to describing the means of measuring uncertaintyand the impacts of uncertainty on analyses and interpretationsmade.Uncertainty in Remote Sensing and GIS provides readers withcomprehensive coverage of this largely undocumented subject:* Relevant to a broad variety of disciplines including geographyenvironmental science, electrical engineering and statistics* Covers range of material from base overviews to specificapplications* Focuses on issues connected with uncertainty at various pointsalong typical data analysis chains used in remote sensing andGISWritten by an international team of researchers drawn from avariety of disciplines, Uncertainty in Remote Sensing and GISprovides focussed discussions on topics of considerable importanceto a broad research and user community. The book is invaluablereading for researchers, advanced students and practitioners whowant to understand the nature of uncertainty in remote sensing andGIS, its limitations and methods of accommodating it.

List of Contributors viiForeword xiPreface xvii1 Uncertainty in Remote Sensing and GIS: Fundamentals 1P. M. Atkinson and G. M. Foody2 Uncertainty in Remote Sensing 19C. E. Woodcock3 Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis 25J. L. Dungan4 On the Ambiguity Induced by a Remote Sensor's PSF 37J. F. Manslow and M. S. Nixon5 Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas 59Q. Zhan, M. Molenaar and A. Lucieer6 Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network 77A. J. Tatem, H. G. Lewis, P. M. Atkinson and M. S. Nixon7 Uncertainty in Land Cover Mapping from Remotely Sensed Data using Textural Algorithm and Artificial Neural Networks 99A. M. Jakomulska and J. P. Radomski8 Remote Monitoring of the Impact of ENSO-related Drought on Sabah Rainforest using NOAA AVHRR Middle Infrared Reflectance: Exploring Emissivity Uncertainty 119D. S. Boyd, P. C. Phipps, W. J. Duane and G. M. Foody9 Land Cover Map 2000 and Meta-data at the Land Parcel Level 143G. M. Smith and R. M. Fuller10 Analysing Uncertainty Propagation in GIS: Why is it not that Simple? 155G. B. M. Heuvelink11 Managing Uncertainty in a Geospatial Model of Biodiversity 167A. J. Warren, M. J. Collins, E. A. Johnson and P. F. Ehlers12 The Effects of Uncertainty in Deposition Data on Predicting Exceedances of Acidity Critical Loads for Sensitive UK Ecosystems 187E. Heywood, J. R. Hall and R. A. Wadsworth13 Vertical and Horizontal Spatial Variation of Geostatistical Prediction 209A. Wameling14 Geostatistical Prediction and Simulation of the Lateral and Vertical Extent of Soil Horizons 223B. Warr, I. O. A. Odeh and M. A. Oliver15 Increasing the Accuracy of Predictions of Monthly Precipitation in Great Britain using Kriging with an External Drift 243C. D. Lloyd16 Conditional Simulation Applied to Uncertainty Assessment in DTMs 269J. SeÂneÂgas, M. Schmitt and P. Nonin17 Current Status of Uncertainty Issues in Remote Sensing and GIS 287G. M. Foody and P. M. AtkinsonIndex 303