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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:全局概率分布函数法评估NOAA-20 VIIRS辐射能级饱和度并与Suomi NPP VIIRS进行比较

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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日成功发射。在传感器数据可用后,立即在NOAA-20上进行了VIIRS的辐射定标和验证活动。 NOAA-20 VIIRS的多个频段(例如M6和M8)具有最大动态范围要求或对饱和度值的豁免,并且需要在发布后评估对L1B(或EDR)产品的影响。由于将数据处理中的饱和阈值定义为测得的数字(DN)计数,因此L1B数据产品中的相应饱和辐射值可能会由于检测器差异和传感器光通量的下降而发生变化。另一方面,L1B数据的用户更关心与场景有关的辐射值的准确性以及检测器饱和度对辐射数据的影响。为了验证检测器饱和度水平并评估其对辐射数据乘积的影响,从每日全局辐射度数据中,在检测器级别和频带级别上都导出了基于直方图的概率分布函数(PDF)。利用这种分布函数,可以从分布中的高辐射值处的急剧的折叠和截止来确定辐射的饱和度水平。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在相同的轨道平面上相距50分钟,并且具有相同的赤道穿越时间,因此概率分布函数方法还可以比较两个传感器之间的辐射校准性能。例如,NOAA-20上VIIRS M6的饱和辐射度值为2018年11月11日的〜44.2(W / m〜2-sr-um),比SNPP VIIRS的饱和辐射度低〜26%。这种差异可以追溯到SNPP VIIRS中旋转望远镜组件反射镜反射率的更快下降。除了饱和度分析外,PDF方法还允许我们根据太阳天顶角范围分析VIIRS昼/夜波段(DNB),并且可以在SNPP和NOAA-20之间比较杂散光校正的性能。

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