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Spatial Statistics for Remote Sensing

2002; Springer Nature (Netherlands); Linguagem: Inglês

10.1007/0-306-47647-9

2215-1842

Alfred Stein, F.D. van der Meer, Ben Gorte,

Remote Sensing in Agriculture

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.These data all have a spatial extension and are often related to each other.In addition, field data are collected to interpret and validate the satellite data, and both are stored and matched, using geographical information systems.Often, statistical inference is necessary, ranging from simple descriptive statistics to multivariate geostatistics.Classification, statististical sampling schemes and spatial interpolation are important issues to deal with.Maximum likelihood and fuzzy classification are now used intermixedly.Careful attention must be given as to where and how to sample efficiently.Interpolation from points to areas of land deserves thorough attention to take into account the spatial variability and to match different resolutions at different scales.Finally, the data have to be interpreted for making important environmental decisions.This book reflects the set-up of the study-day.It addresses issues on remote sensing, interpolation, modeling spatial variation, sampling, classification and decision support systems, to name just a few.Several of the authors were also speakers v vi during the workshop, but some topics were at that day not addressed, and hence the set of authors has been enlarged to guarantee a broad coverage of aspects of spatial statistics for remote sensing purposes.The book would not have been possible without contributions from various people.First, we