Imaging Spectrometry

Basic Principles and Prospective Applications

  • Freek D. van der Meer
  • Steven M. De Jong

Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 4)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Basic principles of imaging spectrometry

    1. Front Matter
      Pages 1-1
    2. Freek D. van der Meer
      Pages 3-16
    3. Freek van der Meer, Steven De Jong, Wim Bakker
      Pages 17-61
  3. Prospective Applications of Imaging Spectrometry

    1. Front Matter
      Pages 63-63
    2. Steven M. De Jong, Gerrit F. Epema
      Pages 65-86
    3. Sabine Chabrillat, Alexander F.H. Goetz, Harold W. Olsen, Lisa Krosley
      Pages 87-109
    4. Lalit Kumar, Karin Schmidt, Steve Dury, Andrew Skidmore
      Pages 111-155
    5. Jan P.G.W. Clevers, Raymond Jongschaap
      Pages 157-199
    6. Freek van der Meer, Hong Yang, Harold Lang
      Pages 201-218
    7. Freek van der Meer, Hong Yang, Salle Kroonenberg, Harold Lang, Paul Van Dijk, Klaas Scholte et al.
      Pages 219-241
    8. Eyal Ben-Dor
      Pages 243-281
    9. Micheal J. Abrams, Simon Hook, Mark C. Abrams
      Pages 283-306
    10. Arnold G. Dekker, Vittorio E. Brando, Janet M. Anstee, Nicole Pinnel, Tiit Kutser, Erin J. Hoogenboom et al.
      Pages 307-359
  4. Back Matter
    Pages 361-403

About this book

Introduction

A significant step forward in the world of earth observation was made with the development of imaging spectrometry. Imaging spectrometers measure reflected solar radiance from the earth in many narrow spectral bands. Such a spectroscopical imaging system is capable of detecting subtle absorption bands in the reflectance spectra and measure the reflectance spectra of various objects with a very high accuracy. As a result, imaging spectrometry enables a better identification of objects at the earth surface and a better quantification of the object properties than can be achieved by traditional earth observation sensors such as Landsat TM and SPOT. The various chapters in the book present the concepts of imaging spectrometry by discussing the underlying physics and the analytical image processing techniques. The second part of the book presents in detail a wide variety of applications of these new techniques ranging from mineral identification, mapping of expansive soils, land degradation, agricultural crops, natural vegetation and surface water quality.

Additional information on extras.springer.com
Sample hyperspectral remote sensing data sets and ENVI viewing software (Freelook) are available on http://extras.springer.com

Keywords

Landsat development image processing remote sensing vegetation

Editors and affiliations

  • Freek D. van der Meer
    • 1
  • Steven M. De Jong
    • 2
  1. 1.Department of Earth Systems AnalysisInternational Institute for Geo-Information Science and Earth Observation (ITC)EnschedeThe Netherlands
  2. 2.Faculty of GeosciencesUtrecht UniversityThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-306-47578-8
  • Copyright Information Springer Science+Business Media B.V. 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-0194-9
  • Online ISBN 978-0-306-47578-8
  • Series Print ISSN 1567-3200
  • About this book