Evaluation of Ecological Environment Quality in Tianjin Based on Remote Rensing Ecological Indices

Abstract

With the accelerating process of urbanization, ecological and environmental degradation is escalating at an alarming pace. Remote sensing ecological index can be utilized to monitor and assess regional environmental conditions efficiently and rapidly. In this research, we select Tianjin as the object of this study, and four periods of Landsat TM/OLI image data in 2009, 2014, 2019, and 2024 were selected. The images were used to generate four important ecological indicators, namely, greenness, humidity, dryness, and heat, and then combined with principal component analysis to construct the Remote Sensing Eco-Environmental Quality Index evaluation model of Tianjin. In this way, the transformation in Tianjin were analyzed. The results show that the ecological environment quality of Tianjin firstly increases, then decreases, and then increases, and the overall trend is upward. The maximum value of RSEI is 0.65, and the minimum value is 0.42. In addition, the areas with poor ecological quality are distributed in the central urban area as well as the southwestern part. The share of regions with poor ecological quality is decreasing, and the proportion of areas with excellent quality is increasing, and the overall tendency is in the direction of positive development. In future research, we will optimize the RSEI algorithm and combine the land use data and GEE platform to make the ecological environment assessment more scientific and reasonable.