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首页> 外文期刊>Journal of Applied Remote Sensing >Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops
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Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops

机译:多时相极化合成孔径雷达数据对监测冬小麦和油菜籽作物的贡献

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摘要

This paper aims to evaluate the contribution of multitemporal polarimetric synthetic aperture radar (SAR) data for winter wheat and rapeseed crops parameters [height, leaf area index, and dry biomass (DB)] estimation, during their whole vegetation cycles in comparison to backscattering coefficients and optical data. Angular sensitivities and dynamics of polarimetric indicators were also analyzed following the growth stages of these two common crop types using, in total, 14 radar images (Radarsat-2), 16 optical images (Formosat-2, Spot-4/5), and numerous ground data. The results of this study show the importance of correcting the angular effect on SAR signals especially for copolarized signals and polarimetric indicators associated to single-bounce scattering mechanisms. The analysis of the temporal dynamic of polarimetric indicators has shown their high potential to detect crop growth changes. Moreover, this study shows the high interest of using SAR parameters (backscattering coefficients and polarimetric indicators) for crop parameters estimation during the whole vegetation cycle instead of optical vegetation index. They particularly revealed their high potential for rapeseed height and DB monitoring [i.e., Shannon entropy polarimetry (r(2) = 0.70) and radar vegetation index (r(2) = 0.80), respectively]. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:本文旨在评估多时相极化合成孔径雷达(SAR)数据在整个植被周期中对冬小麦和油菜作物参数[高度,叶面积指数和干生物量(DB)]估计的贡献,与后向散射系数相比,和光学数据。在这两种常见农作物的生长阶段之后,还使用总共14幅雷达图像(Radarsat-2),16幅光学图像(Formosat-2,Spot-4 / 5)和偏光指示剂的角敏感性和动力学进行了分析。大量地面数据。这项研究的结果表明,纠正对SAR信号的角度影响非常重要,尤其是对于与单反射散射机制相关的同极化信号和极化指示器。对极化指示器的时间动态的分析表明,它们具有检测作物生长变化的巨大潜力。此外,这项研究表明,在整个植被周期中使用SAR参数(反向散射系数和极化指标)来估计作物参数,而不是光学植被指数,引起了人们的极大兴趣。他们特别揭示了它们在油菜高度和DB监测方面的潜力[分别是香农熵旋光度法(r(2)= 0.70)和雷达植被指数(r(2)= 0.80)]。 (C)2016年光电仪器工程师学会(SPIE)

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