NH53A:
NASA Application Science Readiness for Disaster Response II Posters

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Session ID#: 16755

Session Description:
NASA’s Application Science mobilizes Earth Observations, mature science results, diverse subject matter experts and innovative partnerships to make substantial contributions toward disaster risk reduction.  Sponsored projects use hazard and integrated earth science, data management, and technology infusion to enable decisions.  This session will examine new mapping and modeling applications, visualization, predictive and tools that address the relentless challenge of natural and human induced disasters.  Case studies will include response to earthquakes, floods, tropical storms, tsunamis, landslides, volcanic ash and oil spill events and cascading hazards. The intent is to ready such applications for stakeholders and actors that enable disaster preparedness, event response, recovery and resilience. Therefore the program will highlight effective steps to make Earth Observation more accessible, to accelerate the transition of research results to application by integrating research with event response and creating nontraditional partnerships to build resilience.
Primary Convener:  Tim Stough, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Convener:  David S Green, NASA Headquarters, Application Science - Wildfires, Washington, United States
Chairs:  Tim Stough, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and David S Green, NASA Headquarters, Application Science - Wildfires, Washington, United States
OSPA Liaison:  John J Murray, NASA Langley Research Center, Hampton, VA, United States
Index Terms:

4306 Multihazards [NATURAL HAZARDS]
4335 Disaster management [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
4352 Interaction between science and disaster management authorities [NATURAL HAZARDS]

Abstracts Submitted to this Session:

InSAR monitoring for the Ecuadorian volcano Supersite (192120)
Falk Amelung1, Patricia A Mothes2 and Anieri Morales Rivera1, (1)University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States, (2)National Polytecnical School, Instituto Geofisico, Quito, Ecuador
Performance of the LFSO2 algorithm at NOAA for near real time monitoring volcanic SO2 cloud (187854)
Jianguo Niu, IMSG at NOAA STAR, College Park, MD, United States, C. Trevor Beck, NOAA Washington DC, Washington, DC, United States, Lawrence E Flynn, NOAA/NESDIS/STAR, College Park, MD, United States, Kai Yang, University of Maryland, College Park, MD, United States and Nickolay Anatoly Krotkov, NASA Goddard Space Flight Center, Greenbelt, United States
Global Flood Response Using Satellite Rainfall Information Coupled with Land Surface and Routing Models (166195)
Robert F Adler, University of Maryland College Park, College Park, MD, United States and Huan Wu, Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China
Remote-sensing-based rapid assessment of flood crop loss to support USDA flooding decision-making (190689)
Liping Di, George Mason University, Fairfax, United States, Eugene Yu, George Mason University, Center for Spatial Information Science and Systems, Fairfax, United States, Zhengwei Yang, USDA National Agricultural Statistics Service, Research and Development Division, Washington, United States, James Hipple, USDA Risk Management Agency, Washington, DC, United States and Ranjay Man Shrestha, George Mason University Fairfax, Center for Spatial Information Science and Systems, Fairfax, United States
Detection of Flooded Areas in a Time Series of High Resolution Synthetic Aperture Radar Images using Curvelet Transform and Unsupervised Classification. (162906)
Olaniyi A Ajadi, Corteva Agriscience, Johnston, IA, United States, Franz Josef Meyer, University of Alaska Fairbanks, Geophysical Institute, Fairbanks, AK, United States and Anna K Liljedahl, Woodwell Climate Research Center, Falmouth, United States
Data List - Specifying and Acquiring Earth Science Data Measurements All at Once (163325)
Chung-Lin Shie1, William L Teng2, Zhong Liu3, Thomas Hearty4, Suhung Shen5, Angela Li3, Mahabal Hegde6, Keith Bryant3, Edward Seiler2,3, Steven J Kempler4 and Data Lists, (1)NASA Goddard Space Flight Center, GES DISC, Code 610.2, Greenbelt, MD, United States, (2)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States, (5)George Mason University Fairfax, Fairfax, VA, United States, (6)NASA GES DISC, Greenbelt, United States
Assessing the Utility of a Satellite-Based Flood Inundation and Socio-Economic Impact Tool for the Lower Mekong River Basin (178486)
Aakash Ahamed, NASA Goddard Space Flight Center, Greenbelt, MD, United States and John D Bolten, NASA Goddard Space Flight Center, Greenbelt, United States
Satellite Data Visualization, Processing and Mapping using VIIRS Imager Data (198882)
Aye Nyein Phyu, CUNY City College of New York, New York, NY, United States
Development of Open-Source Tools to map Fire Perimeters and Burn Severity utilizing Landsat and a suite of Satellite Detections (192515)
Joshua J Picotte, ASRC Federal Data Solutions, Contractor to the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, United States and Stephen M Howard, USGS EROS Data Ctr, Sioux Falls, SD, United States
Emergency mapping and information management during Nepal Earthquake 2015 - Challenges and lesson learned (170537)
Govinda Joshi, Organization Not Listed, Washington, DC, United States and Deo Raj Gurung, International Center for Integrated Mountain Development, Kathmandu, Nepal
A extract method of mountainous area settlement place information from GF-1 high resolution optical remote sensing image under semantic constraints (131256)
Hongmei Guo II, Sichuan Earthquake Bureau, Sichuan, China
Integration of contributed data with HEC-RAS hydrodynamic model for flood inundation and damage assessment: 2015 Dallas Texas Case Study (135119)
Elena Sava1, Joseph C Thornton2, Alfred J Kalyanapu2 and Guido Cervone3, (1)Pennsylvania State University Main Campus, University Park, PA, United States, (2)Tennessee Technological University, Cookeville, TN, United States, (3)Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States

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