Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry
An existing two-layer model for forest height estimation is adapted for agricultural crops in order to develop a retrieval algorithm based on polarimetric synthetic aperture radar interferometry. This new inversion scheme is specifically tailored for vertically oriented agricultural crops, with exti...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2005-04, Vol.43 (4), p.683-694 |
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| container_title | IEEE transactions on geoscience and remote sensing |
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| creator | Ballester-Berman, J.D. Lopez-Sanchez, J.M. Fortuny-Guasch, J. |
| description | An existing two-layer model for forest height estimation is adapted for agricultural crops in order to develop a retrieval algorithm based on polarimetric synthetic aperture radar interferometry. This new inversion scheme is specifically tailored for vertically oriented agricultural crops, with extinction coefficients dependent on the wave polarization. Physical parameters of the vegetation scene are estimated from the location of the measured coherences in the complex plane. The proposed inversion scheme is validated experimentally with indoor wide-band polarimetric measurements on samples of corn and rice fields. Results show that the estimates of the thickness of the vegetation layer and the ground topography are reasonably accurate for a wide range of frequencies and baselines. Moreover, some interesting results are also obtained when using only dual-polarized data, which brings up new applications for present and future spaceborne missions. |
| doi_str_mv | 10.1109/TGRS.2005.843958 |
| format | Article |
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This new inversion scheme is specifically tailored for vertically oriented agricultural crops, with extinction coefficients dependent on the wave polarization. Physical parameters of the vegetation scene are estimated from the location of the measured coherences in the complex plane. The proposed inversion scheme is validated experimentally with indoor wide-band polarimetric measurements on samples of corn and rice fields. Results show that the estimates of the thickness of the vegetation layer and the ground topography are reasonably accurate for a wide range of frequencies and baselines. 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This new inversion scheme is specifically tailored for vertically oriented agricultural crops, with extinction coefficients dependent on the wave polarization. Physical parameters of the vegetation scene are estimated from the location of the measured coherences in the complex plane. The proposed inversion scheme is validated experimentally with indoor wide-band polarimetric measurements on samples of corn and rice fields. Results show that the estimates of the thickness of the vegetation layer and the ground topography are reasonably accurate for a wide range of frequencies and baselines. Moreover, some interesting results are also obtained when using only dual-polarized data, which brings up new applications for present and future spaceborne missions.</description><subject>Agricultural crops</subject><subject>Algorithms</subject><subject>Crops</subject><subject>estimation of biophysical parameters</subject><subject>Extinction coefficients</subject><subject>Frequency estimation</subject><subject>Interferometry</subject><subject>Inversions</subject><subject>Layout</subject><subject>Mathematical models</subject><subject>Polarimetric synthetic aperture radar</subject><subject>polarimetric synthetic aperture radar interferometry (POLINSAR)</subject><subject>Polarization</subject><subject>Retrieval</subject><subject>Surfaces</subject><subject>Synthetic aperture radar</subject><subject>Vegetation</subject><subject>Wideband</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkc9LwzAYhoMoOKd3wUvxoKfOL2l-HkV0CgNhm-eQZunM6NaatML-e1MmCB70FJLveV_I9yB0iWGCMai75XS-mBAANpG0UEweoRFmTObAKT1GI8CK50QqcorOYtwAYMqwGCE9d13w7tPUWVNlpW_a9330Nl1bE8zWdS7EYWLWwdu-7vqQRjY0bcz66HfrrG1qE_x2aLHZ4n6e-V3KVC40w9v-HJ1Upo7u4vsco7enx-XDcz57nb483M9ySwnvcoItL60kgkgrGSnASGwVMSuiBFPOCpAEAylX1hq-AsHLSgB3YHAFmImyGKPbQ28bmo_exU5vfbSurs3ONX3UUnFCZKFEIm_-JIkCwimj_4MSuOJ8aLz-BW6aPuzSd7XkgicbiicIDlBaXozBVbpNazNhrzHowaAeDOrBoD4YTJGrQ8Q7535wirEStPgCASiXwg</recordid><startdate>20050401</startdate><enddate>20050401</enddate><creator>Ballester-Berman, J.D.</creator><creator>Lopez-Sanchez, J.M.</creator><creator>Fortuny-Guasch, J.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on geoscience and remote sensing, 2005-04, Vol.43 (4), p.683-694 |
| issn | 0196-2892 1558-0644 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Agricultural crops Algorithms Crops estimation of biophysical parameters Extinction coefficients Frequency estimation Interferometry Inversions Layout Mathematical models Polarimetric synthetic aperture radar polarimetric synthetic aperture radar interferometry (POLINSAR) Polarization Retrieval Surfaces Synthetic aperture radar Vegetation Wideband |
| title | Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry |
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