Research on Application of Big Data Based on Ancient Tree Monitoring

For a long time, tree information management has always been at the level of extensive management. Landscaping information mostly uses traditional paper data management, which is mutually related to forest greening information, which brings great inconvenience to each other. Based on the application of big data in the background of ancient tree monitoring, this paper develops an ancient tree monitoring system based on big data, which constitutes a whole, real-time, dynamic and shared operation system of ancient tree monitoring, analysis and application. This system can manage the massive data accumulated by the ancient tree monitoring station for a long time and carry out various clustering analysis on the data. The system needs to be able to receive data information sent by data acquisition points and persist these data. Users can access the system through the browser or mobile terminal and view relevant data information. Through image analysis and big data clustering analysis technology, ancient tree species are classified and identified by multisource remote sensing, and through spatial image imaging technology, the intelligent analysis ability of multi-source remote sensing images of ancient tree species is improved, and the ability of remote sensing information monitoring and identification of ancient tree species is improved.