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Statistical moments of VIIRS night-time lights

Journal Article · · International Journal of Remote Sensing
 [1];  [2];  [3];  [1];  [1]
  1. Colorado School of Mines, Golden, CO (United States)
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  3. Colorado School of Mines, Golden, CO (United States); Russian Academy of Sciences (RAS), Moscow (Russian Federation)

Annual VIIRS global night-time lights traditionally report mean radiance levels after filtering to remove moonlit and cloudy data followed by outlier removal. The mean is the first statistical moment, but there are three other statistical moments (variance, skew and kurtosis) that are currently not produced globally. In this study, we generated VIIRS day/night band multiyear and annual statistical moments for a widely dispersed set of test areas. The moments were calculated from 15 arc second nightly temporal profiles spanning 2012-2020, filtered to exclude cloudy and sunlit data, with radiance adjustments to reduce view angle and lunar illuminance effects. The moment data were examined in two ways: (1) Geospatial grids-which reveal zonation and temporal changes present in urban areas and (2) Scattergrams of moment pairs. The variance versus mean scattergram exhibits several distinct data clusters used to define five zones: core lighting, dark-erratics, mid-erratics, bright-erratics and bright and seteady. The results indicate that the information content of VIIRS night-time lights can be augmented if all four statistical moments are calculated.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1962031
Report Number(s):
NREL/JA-2C00-85565; MainId:86338; UUID:ff9469e9-3805-4e5e-a24c-92358530a7e7; MainAdminId:69023
Journal Information:
International Journal of Remote Sensing, Vol. 45, Issue 21; ISSN 0143-1161
Publisher:
Taylor & FrancisCopyright Statement
Country of Publication:
United States
Language:
English

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About the parabolic relation existing between the skewness and the kurtosis in time series of experimental data journal March 2009