Статья

Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019

C. Elvidge, M. Zhizhin, T. Ghosh, F. Hsu, J. Taneja,
2021

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/cm2/sr. Background areas with no detectable lighting are further isolated using a statistical measure of texture, 3 × 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 (

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Версии

  • 1. Version of Record от 2021-03-02

Метаданные

Об авторах
  • C. Elvidge
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines, Golden, CO 80401, USA;, mzhizhin@mines.edu, (M.Z.);, tghosh@mines.edu, (T.G.);, fengchihsu@mines.edu, (F.-C.H.)
  • M. Zhizhin
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines, Golden, CO 80401, USA;, mzhizhin@mines.edu, (M.Z.);, tghosh@mines.edu, (T.G.);, fengchihsu@mines.edu, (F.-C.H.), Russian Space Research Institute, 117997 Moscow, Russia
  • T. Ghosh
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines, Golden, CO 80401, USA;, mzhizhin@mines.edu, (M.Z.);, tghosh@mines.edu, (T.G.);, fengchihsu@mines.edu, (F.-C.H.)
  • F. Hsu
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines, Golden, CO 80401, USA;, mzhizhin@mines.edu, (M.Z.);, tghosh@mines.edu, (T.G.);, fengchihsu@mines.edu, (F.-C.H.)
  • J. Taneja
    Electrical and Computer Engineering, University of Massachusetts, Amherst, MA 01003, USA;, jtaneja@umass.edu
Название журнала
  • Remote Sensing
Том
  • 13
Выпуск
  • 5
Страницы
  • 922
Издатель
  • MDPI
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC BY
Правовой статус документа
  • Свободная лицензия
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  • dimensions