Abstract: Remote Sensing(RS), with its advantages of rapid, real-time, and large-scale monitoring, has been widely used in the monitoring and evaluation of Ecological environment quality(EEQ). The domestic and international literature about the application of RS in EEQ monitoring and evaluation from 1993 to 2020 were analyzed. The research shows that vegetation index such as the Normalized Difference Vegetation Index(NDVI), building index such as Normalized Difference Built-up and Soil Index(NDBSI), and Land Surface Temperature(LST), which can respectively represent vegetation condition, the status of urbanization, and regional human activities, are widely used in EEQ. Comprehensive index models such as the Remote Sensing Ecological Index(RSEI) are commonly used in EEQ monitoring and evaluation. The objective weighting method represented by principal component analysis(PCA) is the mainstream method of EEQ at present. Additionally, combining multi-source remote sensing data and comprehensive index models to quantitatively assess the regional ecological environment quality from multiple perspectives and dynamically monitor the ecological environment quality changes using long time series data are hot topics of current research.