| The satellite remote sensing data are distributed on different remote sensing data platform.Joint remote sensing satellite data platform for Multi-source Satellite Data for remote sensing data production is a major problem in the industry.In addition,multi-source remote sensing data processing process is very complex.How to control the processing of remote sensing data,making the production of remote sensing data more convenient and faster,is also an urgent problem to be solved.Finally,how to manage the remote sensing data effectively is an important problem in the field of remote sensing application.Based on the present situation of satellite remote sensing data distributed on different remote sensing data platform,this paper analyzes the production status of remote sensing data products.By integrating remote sensing data processing algorithm,the remote sensing data product production integration system is constructed,which provides a platform for remote sensing data production.Secondly,in order to make the production of remote sensing data more rapid and convenient.At the same time,it is difficult to solve the problem of complex process of multi-source remote sensing data processing and control the processing of remote sensing data.This paper puts forward the method of workflow control based on Kepler.The method can effectively control the production process of remote sensing data products,making the production of remote sensing data products more efficient.At the same time,this paper puts forward a set of effective remote sensing data product management methods for a large number of remote sensing data products.This method can be used to manage different data,and solve the problem of remote sensing data management.Finally,based on the collaborative production system of remote sensing data,this paper carries out the experiment of remote sensing data production.The experimental results demonstrate the ability of the production of multi-source remote sensing data products from two aspects of product production and system performance. |