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Semantic Kriging for Spatio-temporal Prediction

  • Shrutilipi Bhattacharjee
  • Soumya Kanti Ghosh
  • Jia Chen
Book

Part of the Studies in Computational Intelligence book series (SCI, volume 839)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen
    Pages 1-17
  3. Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen
    Pages 19-41
  4. Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen
    Pages 43-71
  5. Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen
    Pages 73-95
  6. Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen
    Pages 97-121
  7. Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen
    Pages 123-127

About this book

Introduction

This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. 

The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.

Keywords

GeoScience Remote Sensing Meteorological Parameters Spatio-temporal Data Prediction Kriging Semantics

Authors and affiliations

  • Shrutilipi Bhattacharjee
    • 1
  • Soumya Kanti Ghosh
    • 2
  • Jia Chen
    • 3
  1. 1.Department of Electrical and Computer EngineeringTechnical University of Munich (TUM)MunichGermany
  2. 2.Department of Computer Science and EngineeringIndian Institute of TechnologyKharagpurIndia
  3. 3.Department of Electrical and Computer EngineeringTechnical University of Munich (TUM)MunichGermany

Bibliographic information

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