Abstract: Under the background of comprehensively promoting rural revitalization, it has become an important task to improve the monitoring and evaluation mechanism of distinctive towns and villages. With the explosive growth of multi-source and spatio-temporal data, the data of protection monitoring in distinctive towns and villages are more abundant, but their integration ability and information extraction ability still need to be improved. In this paper, the data consisting of unmanned aerial vehicle (UAV), medium and high-resolution satellite, field investigation data, and Internet information are systematically used in the research and application of monitoring methods. Firstly, by integrating different types of spatio-temporal data, the monitoring indicators including 38 monitoring indicators enlisted in 2 categories 9 subcategories are constructed, and in this system, a multi-dimensional feature classifier is established based on object-oriented random forest algorithm to achieve the high-precision extraction of land use classification information. Then, the B/S architecture-based monitoring module is designed for a standardized application and system integration. Finally, a case study at Hecun Village, Moganshan Town, Deqing County, Huzhou City, Zhejiang Province is taken as an example for the demonstration of this protection monitoring system.