Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019
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DOI：
10.3390/rs13050922
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发表时间：
2021-03-01
期刊：
影响因子：
5
通讯作者：
Taneja, Jay
中科院分区：
文献类型：
--
作者：
Elvidge, Christopher D.;Zhizhin, Mikhail;Taneja, Jay
一致处理的年度全球夜间灯光时间序列（2012-2019）是使用每月无云辐射平均值产生的，这些平均值是由NASA/NOAA可见光红外成像辐射计套件（VIIRS）收集的低光成像白天/夜晚波段（DNB）数据制成的。处理步骤是从开发的原始方法修改的，以从夜间数据产生年度夜间灯光产品。VIIRS夜间照明（VNL）仅在2015年和2016年采用V.1方法生产。在这里，我们报告的方法来产生一个V.2 VNL时间序列的月平均值与过滤，以消除无关的功能，如生物质燃烧，极光，和背景。在这种情况下，离群值去除是通过12个月的中位数来实现的，它丢弃了高和低辐射离群值，从而将背景隔离到1 nW/cm（2）/sr以下的窄辐射范围。使用纹理的统计测量，3 x 3数据范围（DR），进一步隔离没有可检测到的照明的背景区域。背景归零的DR阈值随着无云观测值的数量福尔斯下降而上升。V.2方法通过从多年最大DR和多年无云网格百分比开发DR阈值，扩展了噪声过滤中的时间杠杆作用。通过将具有低平均辐射度的网格单元归零来实现额外的噪声过滤（
A consistently processed annual global nighttime lights time series (2012-2019) was produced using monthly cloud-free radiance averages made from low light imaging day/night band (DNB) data collected by the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS). The processing steps are modified from the original methods developed to produce annual nighttime lights products from nightly data. Only two years of VIIRS nighttime lights (VNL) were produced with the V.1 methods: 2015 and 2016. Here we report on methods used to produce a V.2 VNL time series from the monthly averages with filtering to remove extraneous features such as biomass burning, aurora, and background. In this case, outlier removal is achieved with a twelve-month median, which discards high and low radiance outliers, thus isolating the background to a narrow range of radiances under 1 nW/cm(2)/sr. Background areas with no detectable lighting are further isolated using a statistical measure of texture, 3 x 3 data range (DR). The DR threshold for zeroing out background rises as the number of cloud-free observations falls. The V.2 method extends the temporal leverage in the noise filtering by developing the DR threshold from a multiyear maximum DR and a multiyear percent cloud-free grid. Additional noise filtering is achieved by zeroing out grid cells that have low average radiances (