A dynamic grid workflow for remote sensing quantitative retrieval service

The terabytes of data processed and the tight-coupling remote sensing algorithms can't be scheduled by grid platform directly. Workflow for Grid computing is an application way to integrate distributed data and algorithms in a Grid computing environment. This paper firstly introduces the advantages and shortage of Grid computing applying for remote sensing quantitative retrieval service. And then it give the necessary to design a remote-sensing-oriented Grid workflow GUI for users after analyzing the status of the existing Grid workflow applied to relative domain. During the design, the authors illustrate the relation of system among processing steps. Finally, the authors design a concrete case for remote sensing quantitative retrieval service in atmospheric aerosol.