Uncertainty in Remote Sensing and GIS

Giles M. Foody, Peter M. Atkinson

326 pages, parution le 24/12/2002

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Résumé

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

Uncertainty in Remote Sensing and CIS: Fundamentals
Uncertainty in Remote Sensing
Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis
On the Ambiguity Induced by a Remote Sensor's PSF
Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas
Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network
Uncertainty in Land Cover Mapping from Remotely Sensed Data using Textural Algorithm and Artificial Neural Networks
Remote Monitoring of the Impact of ENSO-related Drought on Sabah Rainforest using NOAA AVHRR Middle Infrared Reflectance: Exploring Emissivity Uncertainty
Land Cover Map 2000 and Meta-data at the Land Parcel Level
Analysing Uncertainty Propagation in CIS: Why is it not that Simple?
Managing Uncertainty in a Geospatial Model of Biodiversity
The Effects of Uncertainty in Deposition Data on Predicting Exceedances of Acidity Critical Loads for Sensitive UK Ecosystems
Vertical and Horizontal Spatial Variation of Geostatistical Prediction
Geostatistical Prediction and Simulation of the Lateral and Vertical Extent of Soil Horizons
Increasing the Accuracy of Predictions of Monthly Precipitation in Great Britain using Kriging with an External Drift
Conditional Simulation Applied to Uncertainty Assessment in DTMs
Current Status of Uncertainty Issues in Remote Sensing and CIS

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Giles M. Foody, Peter M. Atkinson
Parution	24/12/2002
Nb. de pages	326
Format	17 x 25
Couverture	Relié
Poids	778g
Intérieur	Noir et Blanc
EAN13	9780470844083
ISBN13	978-0-470-84408-3