The Research Of Forestry Ecological Data Fusion

China is in the stage of an important period of rapid economic development, along with economic strength, the protection of forestry ecological environment is increasingly important, and more scholars began working on this aspect. At present, China is vigorously constructing the forestry ecological station, aimed at long-term feedback data processing, which plays an important role in the rational use of forest resources and protect the ecological environment. Forestry ecological station is responsible for monitoring the common physical feature of the climate system such as temperature, humidity, wind speed, precipitation, soil moisture, solar radiation, light, etc., which are often acquired by the wireless sensor dynamically. Because it is not accurate to analyze from a single physical feature, we need to consider a number of features, so it is necessary to make a multi-sensor data fusion to adjust the ecological station building which has a certain practical significance.In this system, use the D-S evidence theory fusion algorithm to treat the data of Dagangshan Forestry Ecological Station, analyzing the results of the integration decisions, which plays a role in early disaster warning. The study focused on the early warning of the forestry fires and soil landslide. In the fire early warning, select the temperature, relative humidity, wind speed, precipitation to be fused. As for soil landslide warning, select the kind of deep strata and soil moisture to be fused. In the specific process of fusion, use the historical research experience and the method of calculating the Manhattan distance to get the basic probability of the evidence. According to the formula of the combination rules, it is easy to get the result of the data fusion and the probability value. Next, make a division to get a specific warning level which is compared with the simulated data.