Abstract
Disasters, whether environmental or manmade, have catastrophic impacts that require both quick action and long-term interventions. Mitigating the effects of those disasters requires knowledge about similar events and advanced disaster planning. Major challenges in disaster planning and intervention include a lack of up-to-date information on situational and environmental conditions, major communication gaps, and a lack of effective coordination in planning and recovery operations.
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Acknowledgements
This research was supported in part by NSF grants CNS-0821345, CNS-1126619, HRD-0833093, IIP-0829576, CNS-1057661, IIS-1052625, CNS-0959985, OISE- 1157372, CNS-1042341, CNS-0837556, DGE-0549489, IIS-0957394, IIS-0847680, IIP-0934339, and OISE-0730065, DHS contract HSHQDC_11_C_00019, and support of USGS, IBM, CoreLogic, and ADCi. We greatly appreciate the support and guidance of our NSF Program Directors Rita Virginia Rodriguez, Richard Smith, Demetrios Kazakos, Victor Santiago, Maria Zemankova, and Juan Figueroa. We would like to thank Patrick Hogan of NASA World Wind [50] for his continued guidance and support in research and development of TerraFly’s open-source APIs, 3D visual environment for visualizing spatio-temporal data with moving objects, and keyword-spatio-temporal queries on moving objects. We have greatly benefited from collaborating with current and former researchers at NASA Goddard Space Flight Center, particularly Milton Halem, Bill Teng, Patrick Coronado, and Bill Campbell. IBM has provided invaluable support and guidance, particularly Oded Cohn, Juan Caraballo, Adalio Sanchez, and Howard Ho.
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Rishe, N. et al. (2011). Geospatial Data Management with Terrafly. In: Furht, B., Escalante, A. (eds) Handbook of Data Intensive Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1415-5_25
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