Supporting Interdisciplinary e-Science through

Real-Time Remote Sensing and High Performance Computing in a High Bandwidth Environment

Gilbert L. Rochon, Carol Xiaohui Song, Lan Zhao, Dev Niyogi and Derrick L. Kearney

Purdue University
Rosen Center for Advanced Computing, Purdue Terrestrial Observatory, Information Technology at Purdue

The confluence of advances in access to real-time and archival data from satellite remote sensing, in middleware, in diversity of space-borne sensors, in high speed wide area networks and in both high performance computing and grid computing, have all combined to facilitate support of a broad array of complex and time-sensitive interdisciplinary e-science initiatives. The authors address these individuated advances, as well as their collective impact on selected geo-science, bio-science and nano-science hubs. Moreover, the potential of such integrated technological deployment is delineated in support of public health and preparedness for both biogenic and anthropogenic disasters within Asia , Africa and Latin America . Finally, the authors present both the potential and the constraints with respect to an internationally distributed shared archive of remotely sensed data to support global sustainable development.