Spatial Statistics for Remote Sensing

1. Front Matter

   Pages i-xvi

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2. Description of the data used in this book

   • Ben Gorte

   Pages 3-8

3. Some basic elements of statistics

   • Alfred Stein

   Pages 9-25

4. Physical principles of optical remote sensing

   • Freek van der Meer

   Pages 27-40

5. Remote sensing and geographical information systems

   • Sytze de Bruin, Martien Molenaar

   Pages 41-54

6. Spatial Statistics

   • Peter M. Atkinson

   Pages 57-81

7. Spatial prediction by linear kriging

   • Andreas Papritz, Alfred Stein

   Pages 83-113

8. Issues of scale and optimal pixel size

   • Paul J. Curran, Peter M. Atkinson

   Pages 115-133

9. Conditional Simulation: An alternative to estimation for achieving mapping objectives

   • Jennifer L. Dungan

   Pages 135-152

10. Supervised image classification

    • Ben Gorte

    Pages 153-163

11. Unsupervised class detection by adaptive sampling and density estimation

    • Cees H.M. van Kemenade, Han La Poutré, Robert J. Mokken

    Pages 165-183

12. Image classification through spectral unmixing

    • Freek van der Meer

    Pages 185-193

13. Accuracy assessment of spatial information

    • Andrew K. Skidmore

    Pages 197-209

14. Spatial sampling schemes for remote sensing

    • Jaap de Gruijter

    Pages 211-242

15. Remote sensing and decision support systems

    • Ali Sharifi

    Pages 243-260

16. Back Matter

    Pages 261-284

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This book is a collection of papers on spatial statistics for remote sensing. The book emerges from a study day that was organized in 1996 at the International Institute for Aerospace Survey and Earth Sciences, ITC, in Enschede, The Netherlands. It was by several means a memorable event. The beautiful new building, according to a design by the famous modern Dutch architect Max van Huet was just opened, and this workshop was the first to take place there. Of course, much went wrong during the workshop, in particular as the newest electronic equipment regularly failed. But the workshop attrackted more than hundred attendants, and was generally well received. The results of the workshop have been published in Stein et al. (1998). The aim of the workshop was to address issues of spatial statistics for remote sensing. The ITC has a long history on collecting and analyzing satellite and other remote sensing data, but its involvement into spatial statistics is of a more recent date. Uncertainties in remote sensing images and the large amounts of data in many spectral bands are now considered to be of such an impact that it requires a separate approach from a statistical point of view. To quote from the justification of the study day, we read: Modern communication means such as remote sensing require an advanced use of collected data. Satellites collect data with different resolution on different spectral bands.

• GIS
• Geoinformationssysteme
• classification
• information system
• remote sensing
• simulation
• statistics

"...constitutes a nice synopsis of an extensive array of topics and ideas. ...as a reference source, it is definitely worth having access to, and it would be an appropriate addition for most research libraries. ...it does represent a contribution to the literature that individuals involved in remote sensing data analysis should like to have at their disposal, and so libraries should be encouraged to add it to their collections."
(Mathematical Geology, 35:1 (2003)

• International Institute for Aerospace Survey and Earth Sciences, ITC, Division of Geological Survey, Enschede, The Netherlands

  Freek Meer, Ben Gorte

• Department of Applied Earth Sciences, Delft University of Technology, The Netherlands

  Freek Meer

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