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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creator | Rao, K.S. Rao, Y.S. Venkataratnam, L. Narasimha Rao, P.V. |
description | 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_str_mv | 10.1109/IGARSS.1996.516291 |
format | Conference Proceeding |
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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. 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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.</description><subject>Agriculture</subject><subject>Data processing</subject><subject>Frequency</subject><subject>Information retrieval</subject><subject>Optical polarization</subject><subject>Optical scattering</subject><subject>Roads</subject><subject>Soil moisture</subject><subject>Testing</subject><subject>Vegetation</subject><isbn>9780780330689</isbn><isbn>0780330684</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj9FKwzAUhgMiKLMvsKs8wFqTJidNLkfRWhgo67wep83pyJittNlgb-9g_nzw3X3wM7aUIpNSuNe6Wm-bJpPOmQykyZ18YIkrrLihlDDWPbFkno_iNg2QK_fM6q8x0hADnvjY86bepiX3GJHHkc_x7K_8QgeKGMM48PFCE6_OR5ww8h3NkTch0orXgw_4wh57PM2U_HvBvt_fduVHuvms6nK9SYMUOqadM9ogdb41oHRLOZBC6wvrW2u01UWPLfjcWugceHDkNBjUiCCU7KVRC7a8dwMR7X-n8IPTdX__q_4AAXRKmw</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Rao, K.S.</creator><creator>Rao, Y.S.</creator><creator>Venkataratnam, L.</creator><creator>Narasimha Rao, P.V.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Potential of SIR-C data to study vegetation over Gujarat Test Site, India</title><author>Rao, K.S. ; Rao, Y.S. ; Venkataratnam, L. ; Narasimha Rao, P.V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-c9646aecdb6534be25e3a8d78db864847fab5d2885c95d59e9456a4aa5031f163</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Agriculture</topic><topic>Data processing</topic><topic>Frequency</topic><topic>Information retrieval</topic><topic>Optical polarization</topic><topic>Optical scattering</topic><topic>Roads</topic><topic>Soil moisture</topic><topic>Testing</topic><topic>Vegetation</topic><toplevel>online_resources</toplevel><creatorcontrib>Rao, K.S.</creatorcontrib><creatorcontrib>Rao, Y.S.</creatorcontrib><creatorcontrib>Venkataratnam, L.</creatorcontrib><creatorcontrib>Narasimha Rao, P.V.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rao, K.S.</au><au>Rao, Y.S.</au><au>Venkataratnam, L.</au><au>Narasimha Rao, P.V.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Potential of SIR-C data to study vegetation over Gujarat Test Site, India</atitle><btitle>IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>1996</date><risdate>1996</risdate><volume>1</volume><spage>201</spage><epage>203 vol.1</epage><pages>201-203 vol.1</pages><isbn>9780780330689</isbn><isbn>0780330684</isbn><abstract>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.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.1996.516291</doi></addata></record> |
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subjects | Agriculture Data processing Frequency Information retrieval Optical polarization Optical scattering Roads Soil moisture Testing Vegetation |
title | Potential of SIR-C data to study vegetation over Gujarat Test Site, India |
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