This book treats statistical issues that are of relevance in spatial studies for remote sensing. It consists of contributions by international experts in this field. A brief overview of basic statistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervised and unsupervised procedures, estimation of spatial structures by variograms, interpolation, simulation, sampling and issues of scale. Geographical information systems allow the integration of remote sensing with other sources of information, concentrating on the concept of the pixel. Attention is also given to decision support for a wide variety of possible and important decisions. A single data set is used throughout the book. This book therefore provides an overview of the state of the art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field of science. 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. Annotation This book treats statistical issues that are of relevance inspatial studies for remote sensing. It consists of contributions byinternational experts in this field. A brief overview of basicstatistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervisedand unsupervised procedures, estimation of spatial structures byvariograms, interpolation, simulation, sampling and issues of scale. Geographical information systems allow the integration of remotesensing with other sources of information, concentrating on theconcept of the pixel. Attention is also given to decision support fora wide variety of possible and important decisions. A single data setis used throughout the book. This book therefore provides an overviewof the state of the art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field ofscience Description of the data used in this book....Pages 3-8 Some basic elements of statistics....Pages 9-25 Physical principles of optical remote sensing....Pages 27-40 Remote sensing and geographical information systems....Pages 41-54 Spatial Statistics....Pages 57-81 Spatial prediction by linear kriging....Pages 83-113 Issues of scale and optimal pixel size....Pages 115-133 Conditional Simulation: An alternative to estimation for achieving mapping objectives....Pages 135-152 Supervised image classification....Pages 153-163 Unsupervised class detection by adaptive sampling and density estimation....Pages 165-183 Image classification through spectral unmixing....Pages 185-193 Accuracy assessment of spatial information....Pages 197-209 Spatial sampling schemes for remote sensing....Pages 211-242 Remote sensing and decision support systems....Pages 243-260 "This book treats statistical issues that are of relevance in spatial studies for remote sensing. It consists of contributions by international experts in this field. A brief overview of basic statistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervised and unsupervised procedures, estimation of spatial structures by variograms, interpolation, simulation, sampling and issues of scale. A single data set is used throughout the book. This book therefore provides an overview of the state-of-the-art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field of science."--Jacket Earth observation satellite sensors measure electro-magnetic radiation emitted or reflected by the earth surface.
