An application system and its intelligence for earth resource satellite
Chen Shupeng Li Zhirong
Chinese Academy of Sciences
Wang Yuan
Chinese Academy of Space Technology
Abstract
An application system is proposed for the Earth Resource Satellite (ERS) project. The system under consideration consists of five subsystems:
- The data receiving and recording subsystems;
- The data preprocessing and production subsystems;
- The applied analysis and specialist subsystem (AAS);
- The data simulation and evaluation subsystem;
- The data distribution and user's service subsystem.
Except the traditionally satellite receiving and preprocessing subsystem, the important subsystem of AAS will be discussed in detail. It is basically geographic information of remote sensing imagery.
Such a subsystem will provide the real time and effective dynamic data information to various users for different economic constructions. It is also able to supply the global static information and thematic map of a certain part of the country or even the whole country.
Earth resource satellite (ERS) needs an application system
Since the first American ERST satellite was successfully launched in 1972, its data was used in more than 150 countries and its social and economical benefits were quire obvious. Btu the use of satellite data for remote sensing applications in different countries were separated and less concerned for whole country wide, so the results of applications only solved some regional problems. if we want to make the most of ERS works, a complete application system should be considered. This application system is also one of the five parts of the whole satellite engineering. The other four parts are satellite, rocket, control and communication and launching field. The relations between then are shown in Figure 1. As an application system, it has the capability to research renewal resources in an large area and dynamic monitor the environment.
In the future, the application system of ERS can provide global thematic maps or statistics with practical values for national planning or decision making.
For operational process, the auxiliary data will be input to the system at different stages and the system also output different products at different stages to satisfy the demanding of different uses. Fig.2 shows the flowchart.
