The potential of SAR in crop classification using multi-configuration data

Details The potential of SAR in crop classification using multi-configuration data The potential of SAR in crop classification using multi-configuration data

Jan 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475...93d&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

This paper reports on a quantitative investigation which has been carried out, aimed at evaluating the performances of a neural network based crop classification technique. Backscattering coefficients measured in different SAR configurations (multipolarization/multitemporal) have been used as inputs of the algorithm. For this purpose, AirSAR and ERS data collected at the Flevoland site have been extracted from the ERA-ORA distributed library.

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