Recent Advances in Algorithm Development to Extract Information from AVHRR Data

  • M. M. Verstraete
  • S. Flasse
Part of the Euro Courses book series (EURS, volume 5)

Abstract

Recent advances in the use of remote sensing data to monitor terrestrial environments are presented and the rationale for vegetation indices and the issues related to their proper interpretation are reviewed. A method to evaluate these vegetation indices is proposed. Physical models describing the bidirectional reflectance of natural surfaces are introduced and the role and importance of inversion methods are underlined. An empirical reflectance model is used in the analysis of actual AVHRR data, and the results are discussed. The paper ends with a discussion of the needs and priorities for further research and applications in this area.

Keywords

Normalize Difference Vegetation Index Remote Sensing Vegetation Index Fractional Cover Bidirectional Reflectance Distribution Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ECSC, EEC, EAEC, Brussels and Luxembourg 1996

Authors and Affiliations

  • M. M. Verstraete
    • 1
  • S. Flasse
    • 1
    • 2
  1. 1.Institute for Remote Sensing ApplicationsThe European Commission’s Joint Research CentreIspra(VA)Italy
  2. 2.Natural Resources InstituteChatham Maritime, KentUK

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