Vol. 4, No. 1, 44-51, 2005
Simonetta Paloscia, Paolo Pampaloni, Simone Pettinato, Pietro Poggi and Emanuele Santi
Abstract
Citation EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France BIS-Verlag
In order to verify the possibility of estimating
soil parameters by means of SAR (Synthetic Aperture Radar) images at C-band, an
experimental campaign was carried out in two agricultural areas in Italy
(Alessandria and Montespertoli) during ENVISAT/ASAR passages and the results
obtained after a preliminary data analysis are described in this paper. First
of all, a classification of the Alessandria area, obtained by combining HH and
HV polarizations of a SAR C-band image collected on 7 November 2003, was
performed with the identification of five surface types. A preliminary
investigation on the sensitivity of the backscattering coefficient so in HH polarization to the ground measurements of soil moisture was
carried out and confirmed a certain correlation between these two parameters.
Finally, a statistical algorithm for the retrieval of soil moisture has been
tested on the Montespertoli area. This method, based on the Bayes theorem, made
it possible to retrieve five classes of soil moisture content, with a mean error
of less than 10%.
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History
Submitted: 08 June 2004
Revised: 19 February 2005
Accepted: 30 March 2005
Paloscia S, P Pampaloni, S Pettinato, P Poggi & E Santi, 2005. The retrieval of soil moisture from ENVISAT/ASAR data. EARSeL eProceedings, 4(1), 44-51
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