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Wheat cycle monitoring using radar data and a neural network trained by a model

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7 Author(s)
Del Frate, F. ; DISP, Tor Vergata Univ., Rome, Italy ; Ferrazzoli, P. ; Guerriero, L. ; Strozzi, T.
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An algorithm, based on an electromagnetic model and a neural network, aimed at monitoring the multitemporal evolution of wheat fields, is described. Three different sites are used to validate the model, provide reference ground data, and test the algorithm.

Published in:

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International  (Volume:1 )

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