Evaluation method of landscape ecological quality based on remote sensing ecological index

To enhance the accuracy and recall rate of landscape ecological quality assessment, this study proposes a method based on remote sensing ecological index (RSEI). Firstly, data on landscape architecture's ecological quality are collected, and the RSEI is derived from remote sensing images. Secondly, ecological quality assessment component indicators are constructed, and principal component analysis (PCA) is employed to combine these indicators. Lastly, the grey correlation model is utilised to analyse the ecological environment situation, and the equidistant separation method is applied to categorise RSEI into five levels. The ecological quality assessment results are obtained using spatial statistical methods. The findings reveal that the prediction error rate of RSEI values in this method is controlled within 2.87%, achieving an accuracy of 99.2% and a recall rate of 99.9%. This indicates that the method has the potential to improve the comprehensiveness of landscape ecological quality assessment.