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NOAA-20 VIIRS radiometric band saturation evaluation and comparison with Suomi NPP VIIRS using global probability distribution function method

机译:NOAA-20 VIIRS辐射计频带饱和度评估和使用全局概率分布函数方法与Suomi NPP VIIR的比较

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NOAA-20 was successfully launched on Nov. 18, 2017. Intensive radiometric calibration and validation activities for VIIRS onboard NOAA-20 were carried out immediately after the sensor data become available. Several bands of NOAA-20 VIIRS such as M6, and M8 have maximum dynamic range requirements or waivers on the saturation value and require post-launch assessment of the impacts on the L1B (or EDR) products. Since the saturation threshold in data processing is defined as the measured Digital Number (DN) count, the corresponding saturation radiance value in the L1B data product can vary due to detector difference and degradation in the sensor optical throughput. On the other hand, users of L1B data care more about the accuracy of scene-dependent radiance value and the impact of detector saturation on the radiance data. In order to validate the detector saturation level and assess their impacts on the radiance data products, histogram-based Probability Distribution Function (PDF) is derived both at detector level and at band level from the daily global radiance data. With such distribution function, the saturation level in radiance can be identified from the sharp fold-over and cut-off at the high radiance value in the distribution. In addition, the percentage of the affected pixels in the global data can be quantified and the detector performance can be compared. Since NOAA-20 and SNPP are 50 minutes apart in the same orbital plane and have the same equator-crossing time, the probability distribution function method also enables comparison of the radiometric calibration performance between the two sensors. For example, the saturation radiance value for VIIRS M6 on NOAA-20 is ~44.2 (W/m~2-sr-um) on 01/11/2018, which is ~26% lower than that of SNPP VIIRS. Such difference can be traced to the more rapid degradation of rotating telescope assembly mirror reflectance in SNPP VIIRS. In addition to saturation analysis, the PDF method allows us to analyze the VIIRS Day/Night Band (DNB) according to the solar zenith angle range, and the performance of stray light correction can be compared between SNPP and NOAA-20 as well.
机译:NOAA-20于2017年11月18日成功推出。在传感器数据可用后,立即进行VIIRS载体NOAA-20的密集辐射校准和验证活动。诸如M6和M8等几个NOAA-20 VIIR的频段具有最大动态范围要求或遗弃饱和值,并且需要发布后对L1B(或EDR)产品的影响。由于数据处理中的饱和阈值被定义为测量的数字数字(DN)计数,因此L1B数据产品中的相应饱和度值值可以由于传感器光吞吐量中的检测器差和劣化而变化。另一方面,L1B数据的用户更多地关心现场相关的光线值的准确性和探测器饱和对辐射数据的影响。为了验证检测器饱和度并评估它们对辐射数据产品的影响,基于直方图的概率分布函数(PDF)在探测器级别和来自日常全局辐射数据的带级别导出。利用这种分布函数,可以在分布中的高辐射值下从尖锐的折叠折叠和截止率识别辐射中的饱和水平。另外,可以量化全局数据中受影响像素的百分比,并且可以比较检测器性能。由于NOAA-20和SNPP在相同的轨道平面中分开50分钟并且具有相同的赤道交叉时间,因此概率分布函数方法还实现了两个传感器之间的辐射校准性能的比较。例如,NOAA-20上的VIIRs M6的饱和度值值为01/11/2018的〜44.2(w / m〜2-sr-mum),比SNPP VIIR低约26%。这种差异可以追溯到SNPP VIIR中旋转望远镜组装镜反射率的较快劣化。除了饱和度分析之外,PDF方法还允许我们根据太阳能天顶角范围分析Viirs日/夜间带(DNB),并且可以在SNPP和NOAA-20之间进行杂散光校正的性能。

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