rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Spatial Statistics for Remote Sensing
  name:
    name part: Stein, Alfred.
    role:
      role term: editor.
  name:
    name part: Meer, Freek Van der.
    role:
      role term: editor.
  name:
    name part: Gorte, Ben.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 284 p. online resource.
  abstract: 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.
  table of contents: Description of the data used in this book -- Some basic elements of statistics -- Physical principles of optical remote sensing -- Remote sensing and geographical information systems -- Spatial Statistics -- Spatial prediction by linear kriging -- Issues of scale and optimal pixel size -- Conditional Simulation: An alternative to estimation for achieving mapping objectives -- Supervised image classification -- Unsupervised class detection by adaptive sampling and density estimation -- Image classification through spectral unmixing -- Accuracy assessment of spatial information -- Spatial sampling schemes for remote sensing -- Remote sensing and decision support systems.
  note: edited by Alfred Stein, Freek Van der Meer, Ben Gorte.
  subject:
    topic: Geography
  subject:
    topic: Geographical information systems
  subject:
    topic: Remote sensing
  subject:
    topic: Probabilities
  subject:
    topic: Optics
  subject:
    topic: Optoelectronics
  subject:
    topic: Plasmons (Physics)
  subject:
    topic: Statistics
  subject:
    topic: Geography
  subject:
    topic: Geographical Information Systems/Cartography
  subject:
    topic: Optics, Optoelectronics, Plasmonics and Optical Devices
  subject:
    topic: Remote Sensing/Photogrammetry
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistics, general
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  classification: GA1-1776
  classification: 910.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Remote Sensing and Digital Image Processing, 1
  identifier: 9780306476471
  identifier: http://dx.doi.org/10.1007/0-306-47647-9
  record info:
    record creation date: 100301
    record change date: 20151204175849.0
    record identifier: 978-0-306-47647-1