Monitoring and analysis of green sustainable development in impoverished counties based on nighttime light and RSEI

Abstract

Sustainable assessment of the quality of green sustainable development in poor counties is essential for urban environmental management, planning as well as achieving sustainable development goals. Currently, there are shortage of related researches on poverty alleviation and ecological environment monitoring in poverty-stricken counties, this study which is based on the nighttime light images and Landsat8 OLI images, constructing a light index, remote sensing ecological index (RSEI) and coupling coordination model of the two. Analyze the situation from 2013 to 2019 poverty alleviation in poor counties in Fujian Province and the ecological environment and explore its coupling and coordination relationship. The results show that from 2013 to 2019, the economy of poor counties has doubled and the most obvious accomplishments of poverty alleviation were in the year 2015 to 2017; the RSEI value of poor counties has all increased, the overall ecological level is at a high-quality level, and the coverage rate is high. The coupling degree C and coordination degree D of the light index and RSEI show a fluctuating upward trend, and both of them are at a good coupling and coordination level, achieving a win-win situation for economic and ecological benefits.