Remote Sensing Estimation Method of Urbanization Level Based on Multi-Source Data Analysis

With the continuous development and progress of science and technology, the role of remote sensing technology in the process of urbanization becomes more and more important and cannot be ignored. Based on the analysis of urban conditions with multi-source data and the selection of appropriate methods based on literature, this paper established a comprehensive evaluation system suitable for each region, covering economic growth level, infrastructure construction and social stability. Finally, after synthesizing the weights of each index, the total coefficient of variation is obtained, which provides decision-making basis and suggestion reference for urban planning. At the same time, multi-source data station is used as a new technology model to complete the prediction of urbanization development prospect, in order to provide more targeted and reliable support for the future urbanization process. After that, this paper tested and analyzed the technical model, and the analysis results showed that by comparing the mean square error of different data Windows, their accuracy could be quantified. It can be seen that the accuracy of the optimized model was about 10% higher than that of the unoptimized one.