## 6 Conclusions  
In this paper, the decoupling elastic coefficient method and spatial autocorrelation model were used to analyze the ecological environment and economic development in Wuhan, allowing several conclusions to be drawn. According to the analysis of the Tapio decoupling elasticity index, the ecological environment and economic growth of Wuhan were in a relatively ideal decoupling state throughout the research period, indicating that some regions of Wuhan paid equal attention to urban green sustainable development and economic and social development during this period. The ecological level index had a spatial effect, whereby improving the ecological level was also helpful in promoting economic development. Huangpi District, Xinzhou District, Jiangxia District, Hannan District, Caidian District, and Hongshan District have superior location and ecological advantages with high development potential. Considering the overall development of each district, Wuhan is still in the process of realizing the coordinated development of economy and ecology.  
In this paper, when discussing the decoupling relationship between urban economy and ecological environment, the opposite of the comprehensive evaluation index of ecological environment was defined as ecological loss, which was used as the explained variable, while the comprehensive evaluation index of economic development was used as the driving variable. Therefore, the interpretation of the original decoupling model was the opposite. This approach is an improvement on the original Tapio decoupling model and makes up for the shortcomings of existing research methods. Secondly, compared with the static coupling relationship research, the Tapio decoupling coefficient could reflect the elasticity of ecological environmental indicators in the process of urban economic change, as well as reflect the dynamic trend of change. In addition, this study provides more possibilities for the application of economic data and remote sensing data, showing that it is necessary to apply remote sensing technology to economic and ecological fields.  
This paper had some limitations. Firstly, our improved method of the Tapio model is reasonable at present, but whether it is applicable to other situations needs to be further discussed. Secondly, the study period was relatively short, and 2015 tended to reflect a state of decoupling. However, it is uncertain whether the state of the period before 2015 was cyclical or not, as well as the impact of policies. Lastly, the data had limitations. The data scale was 500 m, but the impact of different scales on the experimental results was not compared. Therefore, in subsequent research, a longer research period can be considered, and regional differences in the ecological level of Wuhan can be considered to conduct zoning modeling and multiscale modeling of Wuhan.  
Conceptualization, L.G.; data curation, X.Z.; formal analysis, L.G., X.Z. and Y.A.; funding acquisition, Y.A.; investigation, X.Z. and D.Y.; methodology, L.G.; project administration, L.G.; resources, D.Y.; software, L.P.; supervision, Y.A.; validation, Y.A.; visualization, X.Z. and L.P.; writing--original draft, L.G.; writing--review and editing, Y.A. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the Doctor Scientific Research Fund Program of Hubei University of Technology (No. XJ2021004701).  
Not applicable.  
All sources were provided in the paper.  
The authors declare no conflict of interest.