With the development of remote sensing technology, remote sensing has been widely applied in various fields and has become one of the important high-tech means to serve modern production and life of humanity. There is an urgent demand for ubiquitous remote sensing services that cater to the needs of hundreds of stars and hundreds of uses. However, due to the heterogeneity of remote sensing data, complexity of remote sensing technology, and diversity of application scenarios, remote sensing service technology for ubiquitous application scenarios is not yet mature. Among them, the standardization technology and application of remote sensing products have become a hot research topic. This article proposes a remote sensing information container information model, SPID system architecture model, and COGON network architecture model based on standard quantitative products. It proposes a remote sensing data application mode of "scalding, hot, warm, cool and icy" and conducts research on the design of multi-source heterogeneous remote sensing service mode for ubiquitous application scenarios, helping remote sensing applications shift from traditional professional data services to ubiquitous application services.