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Proceedings Paper

An algorithm based on neural networks for generating multi-temporal soil moisture maps from ENVISAT/ASAR images
Author(s): Paolo Pampaloni; Simonetta Paloscia; Simone Pettinato; Emanuele Santi
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Paper Abstract

In this paper the actual capabilities of ENVISAT/ASAR images in providing soil moisture maps have been tested. Several SAR images were collected on two test areas: a flat agricultural region in the Alessandria area, in Italy, and the natural area of Kemijoki river system, in Finland. An inversion algorithm based on Artificial Neural Networks (ANN) for the retrieval 4-5 levels of soil moisture from backscattering data was tested and successfully compared to ground measurements.

Paper Details

Date Published: 9 October 2006
PDF: 8 pages
Proc. SPIE 6363, SAR Image Analysis, Modeling, and Techniques VIII, 636306 (9 October 2006); doi: 10.1117/12.693054
Show Author Affiliations
Paolo Pampaloni, CNR-IFAC (Italy)
Simonetta Paloscia, CNR-IFAC (Italy)
Simone Pettinato, CNR-IFAC (Italy)
Emanuele Santi, CNR-IFAC (Italy)

Published in SPIE Proceedings Vol. 6363:
SAR Image Analysis, Modeling, and Techniques VIII
Claudia Notarnicola; Sune R. J. Axelsson; Francesco Posa, Editor(s)

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