Potential of SIR-C data to study vegetation over Gujarat Test Site, India

Multifrequency polarimetric SIR-C data acquired during April 1994 was processed to extract information on vegetation and salinity parameters. Signatures at different frequencies and polarizations were derived for several land categories. The polarization ratio of L (HV) to L (VV) is found to be a us...

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Hauptverfasser: Rao, K.S., Rao, Y.S., Venkataratnam, L., Narasimha Rao, P.V.
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:Multifrequency polarimetric SIR-C data acquired during April 1994 was processed to extract information on vegetation and salinity parameters. Signatures at different frequencies and polarizations were derived for several land categories. The polarization ratio of L (HV) to L (VV) is found to be a useful parameter for the discrimination of vegetation. Cross polarization is found to be very good for identification of field boundaries and road network.
DOI:10.1109/IGARSS.1996.516291