NH33A:
Analysis in Remote Sensing, Novel Data Streams, and Social Media for Natural Hazard Monitoring, Research, and Preparedness II Posters

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Session ID#: 26234

Session Description:
Recent scientific advancements enable new capabilities to acquire near-real time Earth data from space-borne, air-borne and ground based measurements. Access to novel information streams, including social media, are redefining situation awareness. These streams are diverse, complex and overwhelming in volume, velocity and variety of viewpoints. The increasing quantity of these data and information presents a challenge to those studying hazardous events from a scientific perspective or aim to build community resilience. New CyberScience solutions have been developed to store, increase the usability of, analyze, interpret and redistribute these multi-modal datasets to support assessment, humanitarian assistance and disaster relief operations. This session seeks contributions to build capacity among users presenting the usage of data and cyberinfrastructure for natural hazards. The presented work may include web applications and platforms, high performance computing (HPC), cloud computing, remote sensing, data recipes, citizen science efforts, GIS applications, information curation and standardized methodologies.
Primary Convener:  Amanda Markert, University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States
Conveners:  Bradley Zavodsky, NASA Marshall Space Flight Center, Huntsville, AL, United States and Elena Sava, Pennsylvania State University Main Campus, University Park, PA, United States
Chairs:  Bradley Zavodsky, NASA Marshall Space Flight Center, Huntsville, AL, United States and Amanda Markert, NASA DEVELOP National Program, Marshall Space Flight Center, Huntsville, AL, United States
OSPA Liaison:  Elena Sava, Pennsylvania State University Main Campus, University Park, PA, United States

Cross-Listed:
  • ED - Education
  • IN - Earth and Space Science Informatics
Index Terms:

1916 Data and information discovery [INFORMATICS]
1976 Software tools and services [INFORMATICS]
4332 Disaster resilience [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Citizen Science to Support Community-based Flood Early Warning and Resilience Building (238645)
Jonathan D. Paul1, Wouter Buytaert2, Simon Allen3, Juan Antonio Ballesteros-Cánovas4, Jagat k. Bhusal5, Katarzyna Cieslik6, Julian Clark7, Art Dewulf6, Megh Raj Dhital8, Prof. David M. Hannah, PhD7, Wei Liu9, Janak Lal Nayaval10, Arnulf Schiller11, Paul James Smith12, Markus Stoffel4 and Robert Supper13, (1)Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom, (2)Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom, (3)University of Zurich, Zurich, Switzerland, (4)University of Geneva, Geneva, Switzerland, (5)Society of Hydrologists and Meteorologists Nepal, Kathmandu, Nepal, (6)Wageningen University, Wageningen, Netherlands, (7)University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, United Kingdom, (8)Tribhuvan University, Department of Geology, Kathmandu, Nepal, (9)IIASA, Vienna, Austria, (10)SoHAM, Kathmandu, Nepal, (11)GBA, Vienna, Austria, (12)University of Lancaster, Lancaster, LA1, United Kingdom, (13)Geological Surve of Austria, Division of Applied Geosciences, Vienna, Austria
Possibility of the real-time dynamic strain field monitoring deduced from GNSS data: case study of the 2016 Kumamoto earthquake sequence (235214)
Yusaku Ohta1, Mako Ohzono2, Hiroaki Takahashi3, Satoshi Kawamoto4 and Ryota Hino1, (1)Tohoku University, Graduate School of Science, Sendai, Japan, (2)Institute of Seismology and Volcanology, Graduate School of Science, Hokkaido University, Sapporo, Japan, (3)Hokkaido University, Faculty of Science, Sapporo, Japan, (4)Geospatial Information Authority of Japan, Tsukuba, Japan
Very High-rate (50 Hz) GPS for Detection of Earthquake Ground Motions : How High Do We Need to Go? (264765)
Rongxin Fang, Wuhan University, Wuhan, China
Integrating heterogeneous earth observation data for assessment of high-resolution inundation boundaries generated during flood emergencies. (293107)
Elena Sava, Pennsylvania State University Main Campus, University Park, PA, United States, Guido Cervone, Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States, Alfred J Kalyanapu, Tennessee Technological University, Cookeville, TN, United States and Kevin Michael Sampson, Airborne Snow Observatories, Inc., Boulder, United States

See more of: Natural Hazards