Spatiotemporal Coupling between Urbanization and Eco-environment based on Google Earth Engine and Nighttime Light Data: A Case Study of the Yellow River Delta

Abstract

Based on the cloud platform of Google Earth Engine and ArcGIS, this paper uses daytime optical remote sensing and nighttime light (NTL) remote sensing data to extract the comprehensive nighttime light index (CNLI) and remote sensing ecological index (RSEI) respectively, then constructed and quantitatively analyzed the coupling coordination distance model of urbanization and eco-environmental quality in the study area from 2001 to 2020. The results show that the average value of RSEI fluctuated from 0.446 in 2001 to 0.518 in 2020 from 2001 to 2020. The average value of CNLI from 2001 to 2020 continued to rise from 0.101 in 2001 to 0.238 in 2020. From 2001 to 2020, the average value of the coupling coordination degree showed a downward trend, from 1.356 in 2001 to 1.256 in 2020, and the coupling coordination degree gradually developed in a good direction. The research results can provide data support and theoretical suggestions for promoting the sustainable development of the Yellow River Delta.