Abstract: Using remote sensing technology to monitor ecological environment is a good way to quickly acquire the changes of ecological environment. Based on the data of Landsat TM and OLI images, we constructed a model of Remote Sensing Ecological Index (RSEI) with four indicators (greenness, humidity, dryness and heat) by using principal component analysis. This model was used to evaluate the ecological environment quality of Kunming during 2000-2018. The results showed that RSEI can well indicate the quality of regional ecological environment. RSEI was mainly affected by dryness, followed by humidity and greenness, with heat having the least influence. From 2000 to 2018, the five-year average of RSEI in Kunming was 0.51, and the ecological environment quality was in a general state (0.4-0.6). The quality of ecological environment showed a fluctuating trend of “rise-down-rise-down” over time. The quality of ecological environment was better in the western Kunming than in the eastern part, with the best in the southwest corner of Kunming.

Key words: species diversity., revegetation approach, slope aspect,  , slope position