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2002 | Buch

Spatial Statistics for Remote Sensing

herausgegeben von: Alfred Stein, Freek Van der Meer, Ben Gorte

Verlag: Springer Netherlands

Buchreihe : Remote Sensing and Digital Image Processing

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SUCHEN

Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Description of the data used in this book
Ben Gorte
Chapter 2. Some basic elements of statistics
Alfred Stein
Chapter 3. Physical principles of optical remote sensing
Freek van der Meer
Chapter 4. Remote sensing and geographical information systems
Sytze de Bruin, Martien Molenaar
Chapter 5. Spatial Statistics
Peter M. Atkinson
Chapter 6. Spatial prediction by linear kriging
Andreas Papritz, Alfred Stein
Chapter 7. Issues of scale and optimal pixel size
Summary
The environment interacts differentially with electromagnetic radiation according to its essential physical, chemical and biological properties. The electromagnetic radiation recorded by an imaging sensor has value because (i) it can represent these essential physical, chemical and biological properties spatially and (ii) can be used to provide information on our environment; for example, its biomass, cover, temperature. However, points in the environment that are near to each other are more alike than those that are further away and the degree of dissimilarity depends upon spatial autocorrelation in the environment and the pixel size of our remotely sensed observations. In other words, space isn’t a parameter it is a variable and relationships between remotely sensed data and ground data derived at one scale will not be the same at another. The spatial dependence in remotely sensed data is both a burden and a challenge. A burden in the sense that we need to account for the influence of space (other chapters in this book) but a challenge in that in choosing the spatial dimensions of our measurements we can do so to our advantage. This chapter has discussed one such example where spatial statistics were employed to select the optimum pixel size for a given remote sensing investigation.
The realization that we need to choose a pixel size is the first stage in exercising that choice. The message of this chapter is that as remote sensing is inherently spatial “it is a geographical fact of life that the results of spatial study will always depend on the areal units that are being studied” ([289]: p.37).
Paul J. Curran, Peter M. Atkinson
Chapter 8. Conditional Simulation: An alternative to estimation for achieving mapping objectives
Jennifer L. Dungan
Chapter 9. Supervised image classification
Ben Gorte
Chapter 10. Unsupervised class detection by adaptive sampling and density estimation
Cees H.M. van Kemenade, Han La Poutré, Robert J. Mokken
Chapter 11. Image classification through spectral unmixing
Freek van der Meer
Chapter 12. Accuracy assessment of spatial information
Andrew K. Skidmore
Chapter 13. Spatial sampling schemes for remote sensing
Jaap de Gruijter
Chapter 14. Remote sensing and decision support systems
Ali Sharifi
Backmatter
Metadaten
Titel
Spatial Statistics for Remote Sensing
herausgegeben von
Alfred Stein
Freek Van der Meer
Ben Gorte
Copyright-Jahr
2002
Verlag
Springer Netherlands
Electronic ISBN
978-0-306-47647-1
Print ISBN
978-0-7923-5978-4
DOI
https://doi.org/10.1007/0-306-47647-9