Evaluation of Socio-Economic Development in Yunnan Province in 2018 Based on LJ-1 01 Nighttime Light Remote Sensing Image

Nighttime light remote sensing provides an intuitive and timely method for surveying the dynamic socio-economic development of a region. In this study, we utilized the LJ-1 01 remote sensing image, which boasts high spatial resolution, to investigate its potential in estimating socioeconomic development at the township level in Yunnan Province, China, during the year 2018. Subsequently, Zipf's law was applied to assess the balance and distribution of socio-economic indicators in Yunnan Province. The results reveal that the R
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value for socio-economic estimation at the township-level using the LJ-1 01 remote sensing image reaches 0.762. Yunnan Province demonstrates a relatively imbalanced development at the township-level, characterized by a notably high Zipf's value. This research contributes to an enhanced understanding of regional socioeconomic development and aids in the identification of measures to narrow regional disparities for future growth.