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 Electronic Geophysical Year (eGY)-Africa

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.

[1]  K. Linthicum,et al.  Identification and characterization of larval and adult anopheline mosquito habitats in the Republic of Korea: potential use of remotely sensed data to estimate mosquito distributions , 2005, International journal of health geographics.

[2]  M. Gilbert,et al.  Avian influenza, domestic ducks and rice agriculture in Thailand. , 2007, Agriculture, ecosystems & environment.

[3]  M. Tanner,et al.  An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni-hookworm coinfection. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[4]  J K Olson,et al.  Use of aerial color infrared photography as a survey technique for Psorophora columbiae oviposition habitats in Texas ricelands. , 1989, Journal of the American Mosquito Control Association.

[5]  M. Szczur,et al.  Surveillance of Arthropod Vector-Borne Infectious Diseases Using Remote Sensing Techniques: A Review , 2007, PLoS pathogens.

[6]  S. Hay,et al.  Satellite imagery in the study and forecast of malaria , 2002, Nature.

[7]  B. Goossens,et al.  Trypanosomosis prevalence in cattle on Mafia Island (Tanzania). , 2006, Veterinary parasitology.

[8]  A J Graham,et al.  Spatial analysis for epidemiology. , 2004, Acta tropica.

[9]  L. Biehl,et al.  Adopting Multisensor Remote Sensing Datasets and Coupled Models for Disaster Management , 2008 .

[10]  M. Boussinesq,et al.  Apport de la télédétection en santé publique: l'exemple du paludisme et autres perspectives , 1999 .

[11]  M. Thomson,et al.  Environmental information systems for the control of arthropod vectors of disease , 2000, Medical and veterinary entomology.

[12]  F. Holecz,et al.  Desertification - a land degradation support service , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[13]  D. Fish,et al.  Comparison of three satellite sensors at three spatial scales to predict larval mosquito presence in Connecticut wetlands , 2008 .

[14]  W. Cibula,et al.  Some implications of remote sensing technology in insect control programs including mosquitoes. , 1979 .

[15]  S. Goward,et al.  Global Primary Production: A Remote Sensing Approach , 1995 .

[16]  T. Pultz,et al.  Monitoring environmental indicators of vector-borne disease from space: a new opportunity for RADARSAT-2 , 2004 .

[17]  S. de la Rocque,et al.  Remote sensing and epidemiology: examples of applications for two vector-borne diseases. , 2004, Comparative immunology, microbiology and infectious diseases.

[18]  A. Githeko,et al.  Landscape determinants and remote sensing of anopheline mosquito larval habitats in the western Kenya highlands , 2006, Malaria Journal.

[19]  S. de Bruin,et al.  Remote sensing and geographical information systems , 1999 .

[20]  Terry P. Dawson,et al.  Climate and cholera in KwaZulu-Natal, South Africa: the role of environmental factors and implications for epidemic preparedness. , 2008, International journal of hygiene and environmental health.

[21]  A. Tatem,et al.  Terra and Aqua: new data for epidemiology and public health. , 2004, International journal of applied earth observation and geoinformation : ITC journal.