Illuminated border: Spatiotemporal analysis of COVID-19 pressure in the Sino-Burma border from the perspective of nighttime light

Zhao, Fei; Zhang, Sujin; Zhang, Degang; Peng, Zhiyan; Zeng, Hongyun; Zhao, Ziqiang; Jin, Wanqin; Shen, Wei; Liu, Wei

doi:10.1016/j.jag.2022.102774

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…There exists a causal link between the mechanisms of pandemic control and nocturnal light (Kim, 2022; Ning et al., 2023). The primary reason behind the overall decrease in nocturnal light was the reduction in nighttime illumination from residential, commercial, and industrial establishments on the ground (Zhao et al., 2022). The COVID‐19 lockdown restricted residents' mobility and vehicular movement while prohibiting the operation of public places such as factories, malls, and shops (Deng et al., 2022).…”

Section: Discussionmentioning

confidence: 99%

“…COVID‐19 exhibits a wider transmission, a prolonged duration of spread, and a greater geographical reach compared to previous public health crises. Its global outbreak has significantly impeded the growth of the world economy, leading to escalated losses for numerous nations and corporations (Bi, 2023; Zhao et al., 2022). Consequently, the imperative of controlling and preventing pandemics has ascended to the forefront, prompting some nations to initiate Level I responses to major public health catastrophes (Cai & Mason, 2022; Wu et al., 2023).…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Dynamics of COVID‐19 Pandemic City Lockdown: Insights From Nighttime Light Remote Sensing

Jiang,

Liu

2024

GeoHealth

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The global COVID‐19 outbreak severely hampered the growth of the global economy, prompting the implementation of the strictest prevention policies in China. Establishing a significant relationship between changes in nighttime light and COVID‐19 lockdowns from a geospatial perspective is essential. In light of nighttime light remote sensing, we evaluated the spatiotemporal dynamic effects of COVID‐19 city lockdowns on human activity intensity in the Zhengzhou region. Prior to the COVID‐19 outbreak, nighttime light in the Zhengzhou region maintained a significant growth trend, even under regular control measures. However, following the October 2022 COVID‐19 lockdown, nighttime light experienced a substantial decrease. In the central area of Zhengzhou, nighttime light decreased by at least 18% compared to pre‐lockdown levels, while in the sub‐center, the decrease was around 14%. The areas where nighttime light decreased the most in the central region were primarily within a 15 km radius, while in the sub‐center, the decrease was concentrated within a 5 km radius. These changes in both statistical data and nighttime light underscored the significant impact of the COVID‐19 lockdown on economic activities in the Zhengzhou region.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Dynamics of COVID‐19 Pandemic City Lockdown: Insights From Nighttime Light Remote Sensing

Jiang,

Liu

2024

GeoHealth

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“…The archived annual DMSP-OLS and NPP-VIIRS NTL data cover relatively long-time spans, between 1993-2013 and 2013-2018, respectively, and are easily and freely accessible. Data derived from NTL satellite imagery are used for an increasing number of applications, such as fishery detection, gas flares detection, impacts evaluation of sudden events (Gillespie et al, 2014;Zhao et al, 2022), urbanization monitoring (Xu et al, 2014;Gao et al, 2015;Xu et al, 2020), and measuring socioeconomic indicators (Wu et al, 2013;Chen et al, 2022). Although the DMSP-OLS NTL data have been extensively used in many studies due to their global coverage and long temporal span, the data became unavailable to the public after 2013, significantly limiting their use in many studies (Zheng et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution of West Africa’s Urban Landscape Characteristics Applying Harmonized DMSP-OLS and NPP-VIIRS Nighttime Light (NTL) Data

Sono

Wei²,

Chen³

et al. 2022

Chin. Geogr. Sci.

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Investigating urban expansion patterns aids in the management of urbanization and in ameliorating the socioeconomic and environmental issues associated with economic transformation and sustainable development. Applying Harmonized Defense Meteorological Satellite Program-Operational Line-scan System (DMSP-OLS) and the Suomi National Polar-Orbiting Partnership-Visible Infrared Imagery Radiometer Suite (NPP-VIIRS) Nighttime Light (NTL) data, this paper investigated the characteristics of urban landscape in West Africa. Using the harmonized NTL data, spatial comparison and empirical threshold methods were employed to detect urban changes from 1993 to 2018. We examined the rate of urban change and calculated the direction of the urban expansion of West Africa using the center-of-gravity method for urban areas. In addition, we used the landscape expansion index method to assess the processes and stages of urban growth in West Africa. The accuracy of urban area extraction based on NTL data were R 2 = 0.8314 in 2000, R 2 = 0.8809 in 2006, R 2 = 0.9051 in 2012 for the DMSP-OLS and the simulated NPP-VIIRS was R 2 = 0.8426 in 2018, by using Google Earth images as validation. The results indicated that there was a high rate and acceleration of urban landscapes in West Africa, with rates of 0

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Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China

Liu

Shen

Zhang

et al. 2023

Ecology and Evolution

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Illuminated border: Spatiotemporal analysis of COVID-19 pressure in the Sino-Burma border from the perspective of nighttime light

Cited by 6 publications

References 32 publications

Spatiotemporal Dynamics of COVID‐19 Pandemic City Lockdown: Insights From Nighttime Light Remote Sensing

Spatiotemporal Dynamics of COVID‐19 Pandemic City Lockdown: Insights From Nighttime Light Remote Sensing

Spatiotemporal Evolution of West Africa’s Urban Landscape Characteristics Applying Harmonized DMSP-OLS and NPP-VIIRS Nighttime Light (NTL) Data

Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China

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