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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Calibration and Validation of the RapidScat Scatterometer Using Tropical Rainforests
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Calibration and Validation of the RapidScat Scatterometer Using Tropical Rainforests

机译：使用热带雨林对RapidScat散射仪进行校准和验证

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Launched in September 2014, RapidScat is currently operating on the International Space Station (ISS). RapidScat estimates ocean vector winds via the measurement of the normalized radar coefficient of the ocean's surface. Measurements are also collected over land. The ISS orbit permits, for the first time, the observation of the diurnal variation in Ku-band at mid- to high-incidence angles. To complement calibration efforts over the ocean, in this paper the calibration and validation of the measurements are performed using natural land targets, namely the Amazon and Congo rainforests. The diurnal cycle of the targets is estimated with respect to incidence angle, azimuth angle, and season using measurements from previous sensors. Understanding this diurnal backscatter response enables the comparison of RapidScat measurements with measurements from the QuikSCAT, NASA Scatterometer, SeaWinds, and Oceansat-II scatterometers. RapidScat measurements are found to be consistent but biased low compared to those of QuikSCAT by up to 0.3 dB. The effectiveness of slice balancing is evaluated and found to be dependent on the pitch of the ISS. Extreme pitches of the ISS are also found to introduce azimuth dependencies in egg measurements. By accounting for seasonal and diurnal cycles, we find that the rainforests are well suited for scatterometer sensor cross-calibration, even for disjoint years.
机译：RapidScat于2014年9月发射，目前在国际空间站（ISS）上运行。 RapidScat通过测量海洋表面的归一化雷达系数来估算海洋矢量风。还在土地上收集度量。 ISS轨道首次允许在中到高入射角观测Ku波段的日变化。为了补充海洋上的校准工作，本文使用自然土地目标（即亚马逊和刚果雨林）对测量值进行校准和验证。使用先前传感器的测量值，就入射角，方位角和季节估算了目标的昼夜周期。了解此昼夜反向散射响应后，便可以将RapidScat测量值与QuikSCAT，NASA散射仪，SeaWinds和Oceansat-II散射仪的测量结果进行比较。发现RapidScat测量是一致的，但与QuikSCAT的测量相比偏低了0.3 dB。评估切片平衡的有效性，发现其取决于ISS的音高。还发现国际空间站的极端俯仰会在蛋测量中引入方位角依赖性。通过考虑季节和昼夜周期，我们发现雨林非常适合散射仪传感器的交叉校准，即使在不连贯的年份也是如此。

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