Research on a kind of web based distributed forest remote sensing parallel processing service

Abstract

Nowadays, many scientists only use desktop EO data processing software to do their specifically algorithms. These useful algorithms cannot to adapt the fast huge computing area and to be used by others expediently. Sharing the EO algorithms and taking clear of the "information lonely island" need newly information and communications technologies such as software as a service. The goal of this research is to put up web based distributed remote sensing parallel processing services for forest researchers and educators. These services use SaaS conception to provide an uniform man-machine interface for user's data uploading and result spreading over the web quickly. The geo computing services in HPC environment are integrated in a grid based infrastructure by using SIRGE middleware and SIGApp middleware. The workflow of this experiment system and some service results are be set out and discussed. © 2011 Springer-Verlag.