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Using Stokes Parameters Derived from Radarsat-2 Data for Rape (Brassica Napus L.) Biomass Inversion

机译:使用从Radarsat-2数据得出的斯托克斯参数进行油菜(Brassica Napus L.)生物量反演

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In this study, we tested the performance of averaged Stokes parameters in rape biomass inversion over Radarsat-2 data. Five time series Radarsat-2 data were acquired and they covered the whole rape growth season. At each growth stage, 16 Stokes and its child parameters were extracted to analyze their sensitivity to rape biomass. When it comes to biomass inversion, random forest (RF) algorithm were chosen for the rape biomass inversion. The results showed that the total scattered intensity g0 has highest coherence with rape biomass during the whole growth cycle. R2 between them was 0.704. Other parameters including degree of polarization m, the degree of depolarization (1- m), the degree of linear polarization (Pl) and the linear polarization ratio (Uc) showed secondary higher coherence with R2 between 0.3 to 0.4. These parameters also showed higher importance for the parameter importance analysis with RF method. RF method showed potential performance for rape biomass inversion with R2 of 0.585 and RMSE of 71.86 g/m2.
机译:在这项研究中,我们通过Radarsat-2数据测试了平均Stokes参数在油菜生物量反演中的性能。获得了五个时间序列的Radarsat-2数据,它们涵盖了整个油菜生长季节。在每个生长阶段,提取16个斯托克斯及其子参数,以分析它们对油菜生物量的敏感性。当谈到生物量反演时,选择随机森林(RF)算法进行油菜生物量反演。结果表明,在整个生长周期中,总的散射强度g0与油菜生物量具有最高的一致性。它们之间的R2为0.704。其他参数包括极化度m,去极化度(1-m),线性极化度(P1)和线性极化率(Uc)显示出在0.3至0.4之间具有较高的相干性。这些参数对于用RF方法进行参数重要性分析也显示出更高的重要性。射频方法显示出油菜生物量倒置的潜在性能,R2为0.585,RMSE为71.86 g / m 2

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