Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents

Data

卷:4

Catherine Plesko¹  Ishan Shams²  Jingchao Yang²  Yun Li²  Chaowei Yang²  Manzhu Yu²  KevinC. Greenaugh³  JosephA. Nuth⁴  Ronald Leung⁴  Myra Bambacus⁴  Luke Oman⁴  Ruthan Lewis⁴  MeganB. Syal⁵  BernardD. Seery⁶ 

[1] Innovation, 7178 Columbia Gateway Drive Columbia, Columbia, MD 21046, USA;

[2] Department of Geography and Geoinformation Science, George Mason University, 4400 University Dr, Fairfax, VA 22030, USA;

[3] Los Alamos National Laboratory, Los Alamos, NM 87545, USA;

[4] NASA/Goddard Space Flight Center, Planetary Science Division, 8800 Greenbelt Road, Greenbelt, MD 20771, USA;

[5] National Nuclear Security Administration, Department of Energy / Forrestal Building, Washington, DC 20585, USA;

[6] USRA, Department of Research &

关键词: mitigation;    advancements;    asteroid visualization;    knowledge base;    planetary defense;   

DOI  :  10.3390/data4020047

来源: DOAJ

【 摘 要 】

Planetary Defense (PD) has become a critical effort of protecting our home planet by discovering potentially hazardous objects (PHOs), simulating the potential impact, and mitigating the threats. Due to the lack of structured architecture and framework, pertinent information about detecting and mitigating near earth object (NEO) threats are still dispersed throughout numerous organizations. Scattered and unorganized information can have a significant impact at the time of crisis, resulting in inefficient processes, and decisions made on incomplete data. This PD Mitigation Gateway (pd.cloud.gmu.edu) is developed and embedded within a framework to integrate the dispersed, diverse information residing at different organizations across the world. The gateway offers a home to pertinent PD-related contents and knowledge produced by the NEO mitigation team and the community through (1) a state-of-the-art smart-search discovery engine based on PD knowledge base; (2) a document archiving and understanding mechanism for managing and utilizing the results produced by the PD science community; (3) an evolving PD knowledge base accumulated from existing literature, using natural language processing and machine learning; and (4) a 4D visualization tool that allows the viewers to analyze near-Earth approaches in a three-dimensional environment using dynamic, adjustable PHO parameters to mimic point-of-impact asteroid deflections via space vehicles and particle system simulations. Along with the benefit of accessing dispersed data from a single port, this framework is built to advance discovery, collaboration, innovation, and education across the PD field-of-study, and ultimately decision support.

【 授权许可】

Unknown