Monitoring crop cycles by SAR using a neural network trained by a model

Details Monitoring crop cycles by SAR using a neural network trained by a model Monitoring crop cycles by SAR using a neural network trained by a model

Jan 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..239d&link_type=abstract

In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl

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Agriculture, Land Cover

Scientific paper

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.

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