 This study uses remote sensing indices, specifically the remote sensing-based ecological index, RSEI, to assess ecological quality in complex environments. However, image acquisition time consistency is an issue for broadening RSEI application. The continuous change detection and classification CCDC algorithm was used to predict synthetic images instead of real images, resulting in a time series RSEI, TSRSEI. The study found that the TSRSEI from synthetic images is comparable to the RSEI from real images, with a mean absolute difference, mad, of 0.075, 10.5%, which is superior to two real images with a time span of half a month. The study also found that for Hangzhou, the ecological quality was maintained for almost the past 35 years, but spatial polarization between natural and human-dominated environments should be paid attention to. The high temporal consistency and capability of any time mapping of the TSRSEI are expected to be valuable to policymakers and authorities in implementing effective ecological conservation measures. This article was offered by Chao Sun, Jialin Li, Yongchao Liu, and others. We are article.tv, links in the description below.