基于MRSEI模型的阿勒泰市生态环境时空变化及驱动力分析

o evaluate the ecological environment of Altay City in Xinjiang in a timely, objective, andquantitative manner, an improved remote sensing ecological index (MRSEI) was constructed based on multisourceremote sensing data. The spatial and temporal variation characteristics were then analyzed by combining astandard deviation ellipse and gravity center migration model. A geographical detector model was used to detectthe five indicators, which were greenness, dryness, humidity, temperature, and air quality. (1) From 2015 to 2021,the greenness and humidity indexes of Altay City showed a significant positive correlation with the ecologicalenvironment in the region. In contrast, the three indexes for temperature, dryness, and air quality showedsignificant negative correlations. (2) From 2015 to 2021, the average value of the MRSEI in Altay City increased.The spatial migration ability of ecological index areas I and II was strong, while III-V were relatively stable in thespatial structure. The center of gravity for ecological index areas I-IV moved north, while the center of gravity forarea V moved south, indicating that the distribution of the high ecological index in the south of Altay Cityincreased significantly. (3) The dominant factors causing the changes in the eco- environmental quality differedeach year. The spatial evolution of eco-environmental quality in Altay is the result of multiple factors. (4) Thedifferences in spatial distribution and the differences between the MRSEI and RSEI data are related to the spatialdistribution of AOD, indicating that even if Altay City had improved air quality, AOD would still have an impacton the ecological quality of the spatial distribution. From 2015 to 2021, the ecological environment of Altay Citywas thus found to be affected by many factors and tended to improve toward the south.