A parallel mutual information based image registration algorithm for applications in remote sensing
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
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Data access, querying and even analysis are functions to be supported in distributed Earth science data systems. As the volume of data is increasing, distributed systems need to address issues that are important to the users as well as system issues such as data exchanges between distributed nodes, etc. This panel will discuss these issues. It will be moderated by Menas Kafatos (CEOSR, GMU) with the following Panelists: Larry Bergman (IBM), Richard Chinman (UCAR), Tarek El-Ghazawi (CEOSR, GMU), Silvia Nittel (CS, UCLA), Lola Olsen (GCMD, NASA), and X. Sean Wang (ISE and CEOSR, GMU). The panelists will also provide brief descriptions of operational or under development Earth science data systems. Specific examples of systems operational at NASA or funded by NASA's Earth Science Information Partners (ESIP) program will be presented. In this panel discussion, the panelists will present and discuss various views. The article, however, only represents the views of the authors.In remote sensing, global Earth observing missions and operational satellites produce and will continue to produce large volumes of public domain data. The existence of the Internet and the World Wide Web allow these data to be accessed by a variety of scientists, applications experts and the general public. Yet, the unprecedented large volumes of such missions are presenting a challenge to wide user access without either higher bandwidths of future Internet systems or without more focused, user-centered data productions. The latter approach is best achieved in federated data systems. Different functionalities afforded by distributed data systems in Earth observations and associated interoperability options will be discussed. As an example, options in the Earth Science Information Partners Federation will be examined. Results of several tests interoperability options applicable to federated systems are presented.