Abstract: An accurate evaluation of the ecological quality of Huangshi is imperative for its urban transformation. Multi-period Landsat 5 TM, Landsat 8 OLI imagery, and other remotely sensed data products with 5 year intervals are selected through the implementation of a remotely sensed ecological index coupling moisture, greenness, dryness, and heat. This approach is selected to assess the ecological environment quality in Huangshi city. The Moran's index is employed to examine the spatial autocorrelation of ecosystem quality, and geoprobes are utilized to investigate the drivers affecting ecosystem quality.The results show that, the mean value of RSEI shows a trend of decreasing and then increasing, with the highest in 2004, reaching 0.563, and the lowest in 2009, with a value of 0.518.the ecological environment quality in the central and southern part of Huangshi city is more excellent, and the ecological environment quality in Tieshan district and Daye city is worse; and the spatial agglomeration degree of the ecological environment quality in Huangshi city firstly rises and then decreases, with the highest in 2009 and the lowest in 2019; Slope and land use dominate among the factors affecting ecological environment quality in Huangshi city, and the explanatory power of multi-factor interaction is higher than that of single factor. Ecological environmental protection policies in Huangshi have been found to be generally effective, with the quality of the ecological environment undergoing a gradual improvement. However, further efforts are necessary to address land remediation in the entire region and to optimize the spatial structure and layout of the national territory as a whole.

Key words: remote sensing ecological index, spatial autocorrelation, geodetector, Huangshi city, ecological environment quality