Abstract: Spatial-temporal distribution and influencing factors of long-term vegetation index in Chengdu City were studied．A theoretical basis for urban vegetation coverage detection and ecological environment management was provided．Based on remote sensing normalized difference vegetation index（NDVI）dataset, temperature, and rainfall data, spatial-temporal changes, development trend of vegetation coverage and correlation between vegetation spatial-temporal changes and temperature and rainfall in Chengdu City were analyzed by using the maximum synthetic processing, trend analysis, correlation analysis, and Hurst index method．Results showed that average NDVI in Chengdu City from 2000 to 2022 exhibited a distribution pattern with lower values in center and higher values in surrounding areas．Vegetation coverage was lower in center area of Chengdu City, while western mountainous area had higher vegetation coverage．From 2000 to 2022, NDVI in Chengdu City showed a slight downward trend overall, with the lowest NDVI value in 20 years recorded in 2008．During this period, there was a significant download trend from 2000 to 2008, an upward trend from 2009 to 2011, and overall stability from 2012 to 2022．Vegetation improvement areas were mainly distributed in central urban area, western mountain area, and Longquan Mountains of Chengdu City．Average Hurst index was 0.455, indicated that NDVI change in Chengdu City was weakly anti-persistent．NDVI in Chengdu City from 2000 to 2022 was negatively correlated with temperature, positively correlated with rainfall, and negatively correlated with nighttime lights, but there were significant differences in space．