Paper
6 August 2018 Spatial data infrastructure for the management and risk assessment of natural disasters
J. A. Garcia, E. P. Istomin, L. S. Slesareva, J. A. Pena
Author Affiliations +
Proceedings Volume 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018); 1077310 (2018) https://doi.org/10.1117/12.2322986
Event: Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 2018, Paphos, Cyprus
Abstract
This research describes a platform is proposed to organize, structure and integrate not only the geospatial data volumes, but also thematic information, in this case risk assessment catalog, the use of stochastic models for assessing risks in the regions of Venezuela, which historically are associated with extreme phenomena of nature, in order to reduce their negative impact, in order to provide easy access and exchange of information by users more effectively for the management of natural disasters and to improve preventive and emergency plans is reinforced. In the direction of these challenges, this research leads to greater efficiency and integration of multidisciplinary research efforts, which provide solutions to global problems.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. A. Garcia, E. P. Istomin, L. S. Slesareva, and J. A. Pena "Spatial data infrastructure for the management and risk assessment of natural disasters", Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 1077310 (6 August 2018); https://doi.org/10.1117/12.2322986
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Cited by 1 scholarly publication.
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KEYWORDS
Natural disasters

Data modeling

Geographic information systems

Mathematical modeling

Remote sensing

Stochastic processes

Earthquakes

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