Automating the Analysis of Spatial Grids

A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications

  • Valliappa¬†Lakshmanan

Part of the Geotechnologies and the Environment book series (GEOTECH, volume 6)

Table of contents

  1. Front Matter
    Pages i-x
  2. Valliappa Lakshmanan
    Pages 19-66
  3. Valliappa Lakshmanan
    Pages 67-89
  4. Valliappa Lakshmanan
    Pages 91-128
  5. Valliappa Lakshmanan
    Pages 129-172
  6. Valliappa Lakshmanan
    Pages 173-221
  7. Valliappa Lakshmanan
    Pages 223-269
  8. Valliappa Lakshmanan
    Pages 271-308
  9. Back Matter
    Pages 309-320

About this book

Introduction

The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.

Keywords

Data mining Geoinformatics Image processing Pattern recognition Remote sensing

Authors and affiliations

  • Valliappa¬†Lakshmanan
    • 1
  1. 1., National Weather CenterUniversity of OklahomaNormanUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-007-4075-4
  • Copyright Information Springer Science+Business Media Dordrecht. 2012
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-94-007-4074-7
  • Online ISBN 978-94-007-4075-4
  • About this book