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An Introduction to Remotely Sensed Data Analysis

In: Sampling Spatial Units for Agricultural Surveys

Author

Listed:
  • Roberto Benedetti

    (“G. d’Annunzio” University of Chieti-Pescara)

  • Federica Piersimoni

    (Italian National Statistical Institute, ISTAT)

  • Paolo Postiglione

    (“G. d’Annunzio” University of Chieti-Pescara)

Abstract

Remote sensing (RS) is an important tool for studying natural resources and the environment. There is an extremely large number of possible applications for remotely sensed data. RS is defined as the technique for deriving information about the Earth's surface and estimating geo-bio-physical properties using electromagnetic radiation. RS techniques are widely used in agriculture and agronomy. In fact, remotely sensed images provide a spatial coverage of a field, and can be used as a proxy for measuring crop and soil attributes. In this chapter, we discuss some statistical techniques for improving and interpreting the remotely sensed images with particular reference to their use in agriculture.

Suggested Citation

  • Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2015. "An Introduction to Remotely Sensed Data Analysis," Advances in Spatial Science, in: Sampling Spatial Units for Agricultural Surveys, edition 127, chapter 0, pages 63-90, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-46008-5_4
    DOI: 10.1007/978-3-662-46008-5_4
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