卫星遥感是人类观测地球的主要途径，随着遥感技术商业化，全球商业遥感卫星数量快速增长，涌现出许多高分辨率遥感卫星和全球遥感星座，使用卫星对地球进行更全面、更精确、更实时的监测成为可能，但目前卫星遥感数据获取存在重复、盲目、不及时，与用户需求脱节、大量数据闲置等一系列问题，缺乏一个有效的平台和应用模式，搭起卫星数据提供商和用户之间的桥梁。本文基于只需对变化信息进行定向监测和更新即可实现对地表实时监测这一前提出发，提出了一套卫星遥感和互联网结合的地球实时变化监测在线服务云平台，平台通过以用户感兴趣区域的自动变化检测技术为核心，汇聚用户对地表变化信息的需求，形成更高清的卫星拍摄条件，按轨道预测模型优先向最邻近拍摄点的卫星数据服务商快速推送卫星拍摄指令，实现定点定向数据更新，以保证用户随时可以查看感兴趣区域的地表最新影像。其核心思想主要是基于互联网在线抓取技术、云平台的自动变化检测技术与卫星在轨处理实时感知技术来分析、挖掘、提取地理实体变化情报，通过实时推送卫星拍摄指令来实现基于变化信息的定向、定点地理实体数据的采集和更新，保持对感兴趣区域的实时监测服务。本文阐述了云平台建设过程中的实现方法，构建了云平台的基本原型并对其进行验证，讨论了云平台中新的总体架构设计思想和应用领域等问题，展示了该平台对目前商业遥感服务中存在的被动性、单一性、延迟性、重复性等问题的解决方案，提供了一种以传统数据查询订购的云平台向基于变化信息实时监测与定点更新服务云平台跨越的设计思路。

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.