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Proceedings Paper

Temporal monitoring of soil surface state by means of a 5.3 GHz ground-based scatterometer
Author(s): Claudia Notarnicola; Angelo Canio D'Alessio; Domenico Casarano; Francesco Posa; Vincenzo Sabatelli
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Paper Abstract

This paper analyses eight different remote sensing campaigns carried out from 1998 to 2001, pointing out the backscattering coefficients behaviour in dependence both to soil moisture and roughness. Our study indicates a clear dependence of backscattering coefficients on soil moisture with an average sensitivity of 0.25 dB/gr/cm3. In a subsequent step these data sets are utilised to validate an inversion procedure based on a Bayesian algorithm aimed at extracting soil moisture information from backscattering coefficients. After a first run, a priori soil moisture information deriving from the simulation of a hydrological model is introduced leading to an improvement both in extracted soil moisture values and in their uncertainties.

Paper Details

Date Published: 28 January 2002
PDF: 10 pages
Proc. SPIE 4543, SAR Image Analysis, Modeling, and Techniques IV, (28 January 2002); doi: 10.1117/12.453974
Show Author Affiliations
Claudia Notarnicola, Politecnico di Bari and INFM (Italy)
Angelo Canio D'Alessio, Politecnico di Bari and INFM (Italy)
Domenico Casarano, INFM and ENEA (Italy)
Francesco Posa, Politecnico di Bari and INFM (Italy)
Vincenzo Sabatelli, INFM and ENEA (Italy)

Published in SPIE Proceedings Vol. 4543:
SAR Image Analysis, Modeling, and Techniques IV
Francesco Posa, Editor(s)

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