No abstract

The increasing growth of remote sensing data and geoscience research poses great challenges to remote sensing data services. One of them is integrate heterogeneous data provided by multi space agencies and provide a one-stop data service. In this paper, a 3-layerd architecture is proposed and two different ways for service implementation logic are discussed first. Based on the discussion about some technologies for implementation of one-stop data service such as data collection, data management, and service interfaces, a one-stop remote sensing data service system is built, which connects 9 data sources from different agencies, and collects more than 28 million remote sensing data items. It shows that one-stop data service is able to integrate heterogeneous remote sensing data from multi data sources and provide one-stop service with universal programming and user interfaces, and to enable the evolution from remote sensing data services to remote sensing data processing platforms which provide PaaS (Platform-as-a-Service) services for developing more remote sensing data analysis applications.