Satellite-Driven Evaluation of Ecological Environmental Quality Based on the PSR Framework

With the intensification of environmental degradation, it is crucial for environmental protection to monitor and evaluate the ecological environmental quality (EEQ) in a timely and accurate manner based on remote sensing technology. However, current remote sensing EEQ evaluation methods suffer from deficiencies with regard to the indicator system and the EEQ quantification, reducing the accuracy of EEQ evaluations. Therefore, a new EEQ evaluation method is proposed in this study. Remote sensing indicators used in the pressure–state–response (PSR) framework are selected based on the traditional EEQ evaluation system, and deep neural networks (DNNs) are used to quantify EEQ. The results show that the proposed method has a significantly higher EEQ estimation accuracy with NRMSE of 13.61% and R2 of 0.75 than the commonly used remote sensing ecological index (RSEI) method with NRMSE of 19.13% and R2 of 0.51. This study suggests that the proposed method is suitable for the estimation of EEQ in a city.