|Title||OC:Research Advances in Recent Disaster Studies Using Remote Sensing and Computational Methodologies|
|Short Title||OC:Advances in Disaster Studies|
|Main Convener||Name||Jun Matsumoto|
|Affiliation||Deaprtment of Geography, Tokyo Metropolitan University|
|Co-Convener 1||Name||Guido Cervone|
|Affiliation||Pennsylvania State University Main Campus|
|Scope||Every year, environmental hazards pose a constant threat to the development and sustainment of our civilization. A single catastrophic event can claim thousands of lives, cause damages for billions of dollars, and destroy natural landmarks. Such potential catastrophic consequences are due to the emergence of megacities, nuclear power plants and nuclear waste storage, and other facilities whose destruction pose an unacceptable risk of global reach. |
In recent years, the advances in our ability to observe the Earth and its environment through the use of air, space and ground based sensors has led to the generation of large dynamic, and geographically distributed data. The rate at which geospatial data are being generated exceeds our ability to organize and analyze. New challenges arise from an unprecedented access to massive amounts of Earth science data that can be used to study the complementary nature of different parameters. These developments are quickly leading towards a data-rich but knowledge-poor environment.
This session focuses on the use of remote sensing and data mining techniques to study recent natural hazards, including but not limited to recent earthquakes, hydro-meteorological events, floods, landslides, tsunamis. Of particular interest are contributions that discuss the analysis of large data using novel methodologies. This session will be offered using the hyperwall. Only invited talks are allowed for oral presentations, but we welcome a wide ranges of poster presentations.
|Presentation Format||Oral and Poster presentation|