ユニオン(U)
セッション小記号ユニオン
セッションIDU-16
タイトル和文OC:Research Advances in Recent Disaster Studies Using Remote Sensing and Computational Methodologies
英文OC:Research Advances in Recent Disaster Studies Using Remote Sensing and Computational Methodologies
タイトル短縮名和文OC:Advances in Disaster Studies
英文OC:Advances in Disaster Studies
代表コンビーナ氏名和文松本 淳
英文Jun Matsumoto
所属和文首都大学東京大学院都市環境科学研究科地理環境学域
英文Deaprtment of Geography, Tokyo Metropolitan University
共同コンビーナ 1氏名和文Guido Cervone
英文Guido Cervone
所属和文Pennsylvania State University Main Campus
英文Pennsylvania State University Main Campus
発表言語E
スコープ和文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.
英文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.
発表方法口頭および(または)ポスターセッション