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Quantifying Spatiotemporal Changes in Human Activities Induced by COVID-19 Pandemic Using Daily Nighttime Light Data.

Ting Lan1,2, Guofan Shao3, Lina Tang1

  • 1Key Laboratory of Urban Environment and HealthInstitute of Urban EnvironmentChinese Academy of Sciences Xiamen 361021 China.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
|November 23, 2021
PubMed
Summary
This summary is machine-generated.

Nighttime light (NTL) data reveal how COVID-19 lockdowns impacted human activities across China. NTL intensity changes reflect control measures, not case numbers, with varied regional recovery patterns observed.

Keywords:
COVID-19ChinaNational Polar-Orbiting Partnership-Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) day/night band (DNB) daily datanighttime light (NTL)

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Area of Science:

  • Environmental Science
  • Urban Studies
  • Public Health

Background:

  • The COVID-19 pandemic significantly altered global human activities.
  • Nighttime light (NTL) data offer a macro-scale perspective on these changes.

Purpose of the Study:

  • To analyze spatial variations and temporal dynamics of human activities using daily NTL data during the COVID-19 pandemic in China.
  • To explore the relationship between NTL changes, confirmed cases, and epidemic control measures.

Main Methods:

  • Utilized daily nighttime light (NTL) data across the Chinese mainland.
  • Correlated NTL intensity changes with COVID-19 spread and control measures.
  • Compared NTL recovery patterns in different regions and cities.

Main Results:

  • NTL changes correlated with control measures, not confirmed case counts.
  • Major cities and urban agglomerations showed greater NTL reduction than smaller cities.
  • Regional recovery varied, with coastal cities experiencing fluctuations due to imported cases.
  • Overall NTL in China recovered to 89.5% by March 31, 2020, compared to the previous year.

Conclusions:

  • Daily NTL data are effective for monitoring human activity dynamics during public health events.
  • NTL data can evaluate the impact of control measures on human activities.
  • Findings provide insights into regional resilience and recovery post-pandemic.