Research on Garden Ecosystem Based on Monitoring Sensing Technology

Monitoring and evaluating the state variables of garden ecological processes on a long-term scale is one of the hot issues in current garden ecosystem observation research. In view of the problems of poor real-time transmission and storage of observation data in garden ecosystem observation stations, low data sharing, serious data fragmentation, weak construction of big data analysis platform, and lack of real-time prediction and early warning of garden fires, this paper combines remote sensing technology, vorticity correlation technology, and monitoring and sensing technologies such as quadratic survey technology and wireless sensor network, realizes long-term and continuous comprehensive observation of water, soil, air, and growth elements in garden ecosystems, provides the real-time automatic storage and display of carbon budget data, water flux data, flux of energy and meteorological data between garden ecosystems and the atmosphere, storage and display of garden ecosystem service functions, and quantity of value, realizes the monitoring of garden fires and the prediction and early warning of garden fire risks, and can also provide technical support and exploration for the long-term automated observation used for garden ecosystems.