Stereoscopic remote sensing monitoring system based on multilevel platform collaboration is a monitoring system including space-based satellite, space-based remote sensing, aerial drones, mobile patrol monitoring vehicles and ground observation. The core of the system is to use the collaborative linkage mechanism and technical method to build the core algorithm model of data fusion, in order to make up for the shortcomings of conventional single remote sensing means in terms of monitoring time, accuracy and periodicity. The core meaning and application of stereoscopic remote sensing monitoring system based on multilevel platform collaboration for atmospheric environment are elaborated here, and the application results of the system for atmospheric environment are shown by taking the Qipanjing Industrial Park (Erdos, China) as an example. It is shown that the system is helpful for finding out the characteristics of local pollution emissions and quantifying regional pollutant transmission contributions, achieving accurate source tracing and law enforcement, and finally forming a targeted comprehensive air pollution control proposal, which will effectively support the local air pollution prevention work.