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VIIRS dayight band (DNB) stray light characterization and correction

机译:VIIRS昼/夜带(DNB)杂散光的表征和校正

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The Day/Night Band (DNB) on the VIIRS sensor is a panchromatic band that can detect very dim nighttime scenes. After launch of Suomi NPP in October 2011 we observed a gray haze in radiance images with offsets up to 5×10~(-9) W cm~(-2) sr~(-1). Overall this impacts about 25% of nighttime scenes. We considered stray light as the likely cause, and studied calibration data from the space view. We concluded that stray light is likely entering the VIIRS scan cavity directly or indirectly through the nadir door and solar diffuser openings. We also studied the darkest earth scenes without any solar, lunar or artificial illumination, and found that the offset is a function of cross-track pixel, solar angle of incidence (AOI) and detector number. We observed a strong detector dependence causing striping. Dividing scenes into 3 or 4 zones in each hemisphere based on solar AOI, we devised an algorithmic correction based on polynomial fits of the medians of the data for each zone. The correction removed almost all the haze and striping and improved dynamic range by 2 orders-of-magnitude, to as low as 1×10~(-10) Wcm~(-2) sr~(-1), but some striping remains in the twilight region due to extrapolation.
机译:VIIRS传感器上的昼/夜波段(DNB)是一个全色波段,可以检测到非常暗淡的夜间场景。 Suomi NPP在2011年10月发射后,我们在辐射图像中观察到了灰色混浊,其偏移高达5×10〜(-9)W cm〜(-2)sr〜(-1)。总体而言,这会影响约25%的夜间场景。我们认为杂散光是可能的原因,并从空间角度研究了校准数据。我们得出的结论是,杂散光很可能直接或通过天底门和太阳漫射器开口间接进入VIIRS扫描腔。我们还研究了没有任何太阳,月球或人工照明的最暗地球场景,发现偏移量是跨轨像素,太阳入射角(AOI)和探测器数量的函数。我们观察到强烈的检测器依赖性导致条带化。根据太阳AOI,将场景分为每个半球的3个或4个区域,我们基于每个区域的数据中位数的多项式拟合设计了一种算法校正。校正消除了几乎所有的雾度和条纹,并将动态范围提高了2个数量级,低至1×10〜(-10)Wcm〜(-2)sr〜(-1),但仍有一些条纹由于推断,在暮光区。

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