 The study aimed to monitor and assess lake eutrophication in Wuhan using trophic level index, TLI, and radial basis function neural network, BARBFNN, model with Sentinel, two multispectral instrument, MSI, imagery and lake environmental characteristics. The main findings indicate that the higher percentage of eutrophic area was registered in autumn, specifically on September 12, 2019, and compared to the same period in 2018, the eutrophic area in the autumn of 2019 was significantly higher. The TLI values were between 30 and 70 for most lakes in Wuhan, suggesting that most lakes were mesotrophic or light eutrophic with few oligotrophic and heavy eutrophic lakes. The developed algorithm from this study could be applied for rapid and effective monitoring of eutrophication in lakes. This article was authored by Hu Yu, Bao Yin He, Ya Dong Ju, and others. We are article.tv, links in the description below.