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Capability of multi-temporal Radarsat-2 data in monitoring canola crop and its plant height

机译:多时相Radarsat-2数据监测油菜籽作物及其株高的能力

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The potential capability of C-Band fully polarimetric synthetic aperture radar data for monitoring canola height was investigated in this study. Polarimetric parameters of canola fields were extracted with polarimetric decompositions method from multi-temporal Radarsat-2 images. Temporal behavior of polarimetric features with different varieties and sowing dates was presented from its sowing to its harvest. It was found that the evolution curve of Entropy and Alpha-angle parameters is highly consistent with the evolution trend of canola height over time. A second order polynomial model was applied to inverse the canola height over a farmland area of China, during the 2013 growing season. Even if the proposed method is simple, the result was encouraging with a high level of agreement (R2=0.96, RMSE=13.1cm, RE=14.3%). Therefore, it revealed a strong capability of polarimetric synthetic aperture radar data in characterizing canola plant height, especially in vegetative growth stage.
机译:在这项研究中,研究了C波段全极化合成孔径雷达数据监测油菜高度的潜在能力。通过极化分解方法从多时相Radarsat-2图像中提取油菜田的极化参数。从播种到收获,介绍了具有不同品种和播种日期的极化特征的时间行为。研究发现,熵和阿尔法角参数的演化曲线与油菜高度随时间的演化趋势高度一致。在2013年生长季节期间,使用二阶多项式模型对中国农田油菜的高度进行反演。即使所提出的方法很简单,结果还是令人鼓舞的,它具有很高的一致性(R2 = 0.96,RMSE = 13.1cm,RE = 14.3%)。因此,它揭示了偏振合成孔径雷达数据在表征油菜植物高度(特别是在营养生长阶段)方面的强大能力。

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