Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1853-1856, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1853-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1853-1856, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1853-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

MONITORING DISASTER-RELATED POWER OUTAGES USING NASA BLACK MARBLE NIGHTTIME LIGHT PRODUCT

Z. Wang1,2, M. O. Román1, Q. Sun1,3, A. L. Molthan4, L. A. Schultz4, and V. L. Kalb1 Z. Wang et al.
  • 1Terrestrial Information Systems Laboratory, NASA Goddard Space Flight Center, USA
  • 2Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
  • 3Science Systems and Applications, Inc., Lanham, MD, USA
  • 4Earth Science Office, NASA Marshall Space Flight Center, Huntsville, AL, USA

Abstract. Timely and accurate monitoring of disruptions to the electricity grid, including the magnitude, spatial extent, timing, and duration of net power losses, is needed to improve situational awareness of disaster response and long-term recovery efforts. Satellite-derived Nighttime Lights (NTL) provide an indication of human activity patterns and have been successfully used to monitor disaster-related power outages. The global 500 m spatial resolution National Aeronautics and Space Administration (NASA) Black Marble NTL daily standard product suite (VNP46) is generated from Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the NASA/National Oceanic and Atmospheric Administration (NOAA) Suomi National Polar-orbiting Partnership (Suomi- NPP) satellite, which began operations on 19 January 2012. With its improvements in product accuracy (including critical atmospheric and BRDF correction routines), the VIIRS daily Black Mable product enables systematic monitoring of outage conditions across all stages of the disaster management cycle.