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Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry

机译:极化SAR干涉法反演农作物生物物理参数

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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.
机译:现有的用于森林高度估计的两层模型适用于农作物,以便开发基于极化合成孔径雷达干涉测量法的检索算法。这种新的反演方案专门针对垂直方向的农作物量身定制,其消光系数取决于波的极化。植被场景的物理参数是根据复杂平面中测得的相干位置估算出来的。提出的反演方案通过室内宽带极化测量对玉米和稻田样品进行了实验验证。结果表明,在很宽的频率和基线范围内,植被层厚度和地面地形的估计值是相当准确的。此外,当仅使用双极化数据时,也会获得一些有趣的结果,这为当前和未来的星载飞行带来了新的应用。

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