Evaluation of Ecological Environmental Quality based on Multi-Temporal Remote Sensing Data

Abstract

The quality of ecological environment is closely related to human life and the method of the evaluating the ecological environmental quality is the main factors for the accuracy of the models. We proposed a novel Ecological Environmental Quality Evaluation (EEQE) model which is constructed by combining the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Principal Component Analysis method (PCA) etc. The natural factors, meteorological factors, topographical factors and anthropogenic activities factors are also considered in the EEQE model which can be utilized to effectively assess the quality of the ecological environment. The results showed that the ecological environmental quality of five cities with good level and excellent level is most about 80%. Besides, we also analyzed the correlations between ecological environmental quality and the impact factors. The results indicate that the dominant factors of the ecological environment quality in Huai an, Lianyungang, Suqian, Xuzhou and Yancheng are precipitation, land surface temperature, net primary productivity, wetness and slope respectively.