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Spatializing Chengdus GDP: A Night Light Analysis of Economic Trends (2019-2021)

Shihao Zhang

Abstract


This project analyzed the spatial and temporal characteristics of GDP in Chengdu from 2019 to 2021 using NPP/VIIRS data.
The findings reveal that Qingyang, Wuhou, and Jinjiang districts experienced high-density and fast-growing GDP trends, while the eastern
and western parts of Chengdu showed low-density and negative growth patterns. The study also identified the impact of the COVID-19
pandemic on the central urban area, with negative GDP growth and cold spot clustering in 2019-2020. However, in 2020-2021, the central
urban area recovered with hotspot clustering and rapid expansion of positive GDP growth regions. This analysis serves as supplementary
information for the development of future economic and social policies in Chengdu, with the objective of implementing precise and targeted measures.

Keywords


Night Light Remote Sensing; NPP / VIIRS; Gross Domestic Product; Public Health; Economic

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References


[1] Li, M 2020, Spatial analysis of Guangdong GDP Based on nighttime lighting data, PhD thesis, Jiangxi University of Science and Technology.

[2] Yu, F & Gao, M 2022, 'Research on GDP spatialization of urban agglomeration on the northern slope of Tianshan Mountains based on

NPP-VIIRS data', Hubei Agricultural Sciences, vol. 61, no. 21, pp. 244-251.

[3] Christopher, D, Elvidge, Daniel Ziskin, Kimberly E. Baugh, et al. 2009, 'A Fifteen Year Record of Global Natural Gas Flaring Derived

from Satellite Data', Energies, vol. 2, no. 3, pp. 595-622.

[4] Ma, T, Zhou, C, Pei, T et al. 2014, 'Responses of Suomi-NPP VIIRS-derived nighttime lights to socioeconomic activity in Chinas cities', Remote Sensing Letters, vol. 5, no. 2, pp. 165-174.

[5] Bai, M & Tang, B 2020, 'Spatialisation of GDP in Chengdu based on NPP-VIIRS night lighting data', Survey and Mapping.




DOI: http://dx.doi.org/10.70711/cstm.v2i2.7402

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