Acquisition, analysis and distribution of real-time multi-sensor satellite data, in a high performance computing environment, for disaster mitigation applications: Case studies from the NATO science for peace funded Kamal Ewida Earth Observatory in Egypt,

The paper presents an implementation of the current state-of-the-art, with respect to acquisition, analysis and distribution of real-time remotely sensed data from multiple polar orbiting and geostationary earth observing satellite sensors, deploying high performance computing for time-critical disaster mitigation applications. The authors also describe the prototype Kamal Ewida Earth Observatory (KEEO), now under development at Cairo University and at Al Azhar University in Egypt, as a technological exemplar of indigenous expertise, real-time remote sensing, near-real-time spatial data products, supercomputer access from Egypt´s space agency-NARSS, partnerships with multi-lateral agencies (e.g. UN WHO, Electronic Geophysical Year (eGY)-Africa), sensor data archives from the United States Geological Survey (USGS)-supported AmericaView, funding from NATO´s Science for Peace Program and collaborative research with Bogaziçi University´s Kandilli Observatory and Earthquake Research Institute (KOERI) in Istanbul, Turkey and with Purdue University´s Rosen Center for Advanced Computing´s Purdue Terrestrial Observatory (PTO) in West Lafayette, Indiana, USA.