Spatial Analysis of Guangdong Province’s GDP Based on NPP-VIIRSNight Light Remote Sensing
With the development of remote sensing technology, night light remote sensing is widely used in gross domestic product (GDP) estimation or spatial analysis. This study uses NPP-VIIRS night light data combined with yearbook statistical data to conduct a spatial analysis of Guangdong Province’s GDP. Firstly, based on the distribution of lighting values and GDP output points, combined with the fitting of different models, it is verified that there is a significant correlation between nighttime lighting data and GDP, and the spatialization and feasibility of inversion are feasible. Utilize the pixel values of lighting brightness to spatially allocate GDP in 2012 and 2021, and analyze the overall and regional economic spatial trends. The analysis shows that the overall development trend is centered around the Pearl River Delta Greater Bay area, which has the characteristic of radiating outward from the central region. The other regions present a scattered economic pattern, extending to the northern region for common development. The economy driven by the agglomeration of the east and west wings is gradually developing. In the trend of regional development, the western wing has changed from a strip type to a cluster type, while the eastern wing has significant growth and changes along its southern coast and the mountainous areas have a scattered distribution pattern.
KEYWORDS: Night Light Remote Sensing; NPP-VIIRS Data; Gross Domestic Product (GDP); Model Fitting; Spatial Analysis