Satellite remote sensing is the main way for humans to observe the Earth. The commercialization of remote sensing technology has facilitated the rapid growth of the number of global commercial remote sensing satellites. Real-time monitoring is possible. However, the current satellite remote sensing data acquisition has various problems, such as duplication, blindness, untimely, disconnection from user needs, and a large amount of data idle. An effective platform and application model is also lacking to build a bridge between satellite data providers and users. Real-time monitoring of the Earth’s surface can be realized by only directional monitoring and updating of change information. Thus, this study proposes a set of online service cloud platforms for real-time earth change monitoring by combining satellite remote sensing and the Internet. The automatic change detection is the core, which gathers user needs for surface change information to form more high-definition satellite shooting conditions. According to the orbit prediction model, it will quickly push satellite shooting instructions to the nearest satellite data service provider to achieve fixed-point directional data update and ensure that users can view the latest images of the surface of the area of interest at any time. Its core ideas are mainly based on Internet online capture technology, cloud platform automatic change detection technology, and satellite on-orbit real-time processing technology. It aims to analyze, mine, and extract geographic entity change information, realize the collection and update of directional and fixed-point geographic entity data based on change information by pushing satellite shooting instructions in real time, and maintain real-time monitoring services for areas of interest. This study describes the implementation methods in the process of cloud platform construction, builds and validates the basic prototype of the cloud platform, and discusses the new overall architecture design ideas and application areas in the cloud platform. Results show that the platform is useful for the current business The solution to the problems of passivity, singularity, delay, and repetition in remote sensing services provides a design idea from the current cloud platform based on traditional data query and ordering to the fixed-point update service cloud platform based on changing information.

remote sensing;satellite-earth integration;change detection;on-board processing;cloud platform;fixed-point update