An Introduction to Remotely Sensed Data Analysis

Roberto Benedetti, Federica Piersimoni and Paolo Postiglione ()
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Roberto Benedetti: “G. d’Annunzio” University of Chieti-Pescara
Federica Piersimoni: Italian National Statistical Institute, ISTAT

Chapter Chapter 4 in Sampling Spatial Units for Agricultural Surveys, 2015, pp 63-90 from Springer

Abstract: 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.

Keywords: Remote Sense; Spectral Band; Advance Very High Resolution Radiometer; Image Restoration; Advance Very High Resolution Radiometer (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-46008-5_4

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