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Atkinson, Peter M. / Tate, Nicholas (eds.)
Advances in Remote Sensing and GIS Analysis

1. Edition - July 1999
202.- Euro
1999. XIV, 274 Pages, Hardcover
ISBN-10: 0-471-98577-5
ISBN-13: 978-0-471-98577-8 - John Wiley & Sons


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Short description
There are a number of important topics in spatial analysis, and this book embraces areas such as geostatics, chaos, and complexity, along with a vast review of the techniques used in the analysis of spatial data for remote sensing and GIS. There is much research on spatial analysis for remote sensing and GIS being undertaken in the United Kingdom, and the demand for a state-of-the-art review on this topic has prompted the undertaking of these substantial issues.

From the contents
Techniques for the Analysis of Spatial Data (P. Atkinson & N. Tate).

Land Cover Classification Revisited (P. Mather).

Image Classification with a Neural Network: From Completely-Crisp to Fully-Fuzzy Situations (G. Foody).

Cloud Motion Analysis (H. Lewis, et al. ).

Methods for Estimating Image Signal-to-Noise Ratio (SNR) (G. Smith & P. Curran).

Modelling and Efficient Mapping of Snow Cover in the UK for Remote Sensing Validation (R. Kelly & P. Atkinson).

Using Variograms to Evaluate a Model for the Spatial Prediction of Minimum Air Temperature (D. Cornford).

Modelling the Distribution of Cover Fraction of a Geophysical Field (J. Collins & C. Woodcock).

Classification of Digital Image Texture Using Variograms (J. Carr).

Geostatistical Approaches for Image Classification and Assessment of Uncertainty in Geologic Processing (F. van der Meer).

A Syntactic Pattern-Recognition Paradigm for the Derivation of Second-Order Thematic Information from Remotely Sensed Images (S. Barr & M. Barnsley).

The Rôle of Classified Imagery in Urban Spatial Analysis (V. Mesev & P. Longley).

Image Classification and Analysis Using Integrated GIS (J. Hinton).

Per-Field Classification of Land Use Using the Forthcoming Very Fine Spatial Resolution Satellite Sensors: Problems and Potential Solutions (P. Aplin, et al. ).

Modelling Soil Erosion at Global and Regional Scales Using Remote Sensing and GIS Techniques (N. Drake, et al. ).

Extracting Information from Remotely Sensed and GIS Data (P. Atkinson & N. Tate).

Index.


 
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