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INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA

机译:使用偏振SAR数据的灌溉水稻生态系统清单

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An attempt has been made in the current study to assess the potential of polarimetric SAR data for inventory of kharif rice and the major competing crop like cotton. In the process, physical process of the scattering mechanisms occurring in rice and cotton crops at different phonological stages was studied through the use of temporal Radarsat 2 Fine quadpol SAR data. The temporal dynamics of the volu me, double and odd bounce, entropy, anisotropy, alpha parameters and polarimertic signatures, classification through isodata cluste ring and Wishart techniques were assessed. The Wishart (H-α) classification showed higher overall as well as rice and cotton crop accuracies compared to the isodata clustering from Freeman 3-component decomposition. The classification of temporal SAR data sets independently showed that the rice crop forecasting can be advanced with the use of appropriate single date polarimetric SAR data rather than using temporal SAR amplitude data sets with the single polarization in irrigated rice ecosystems.
机译:目前已经在目前的研究中进行了尝试,以评估Polijetric SAR数据的潜力,用于Kharif Rice库存和棉花等主要竞争作物。在该过程中,通过使用时间雷达2微量QuadPol SAR数据研究了在水稻和棉作物中发生的散射机制的物理过程。评估了Volu Me,Double和Odd反弹,熵,各向异性,α参数和偏光签名,通过IsoData Cluste环和Wishart技术进行分类的时间动态。与Freeman 3组件分解的ISODATA聚类相比,Wishart(H-α)分类总体和稻米和棉花作物准确性较高。时间SAR数据集的分类独立地显示了稻米作物预测可以通过使用适当的单日偏振SAR数据来推进,而不是使用灌溉水稻生态系统中的单极化的时间SAR幅度数据集。

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