GH41C:
Using NASA's Satellite and Suborbital Measurements and Modeling for Health and Air Quality Applications II Posters


Submit an Abstract to this Session


Session ID#: 50031

Session Description:
Recognizing the importance of tailoring content to a variety of audiences, NASA’s Public Health & Air Quality Program takes a multi-pronged approach to expand the reach of satellite remotely sensed data to the applications community. NASA maintains a diverse constellation of Earth observing research satellites and sponsors research in developing satellite data applications across a wide spectrum of areas including environmental health; infectious disease; air quality standards, policies, and regulations; and the impact of climate change on health and air quality. Successfully providing predictions with the accuracy, latency, and specificity required by decision makers will require advancements over current capabilities in a number of interrelated areas. These areas include observations, modeling systems, forecast development, application integration, and the research to operations transition process. This session will bring together data providers (NASA) and data users (other agencies, academia, private organizations) to share ideas about maximizing  satellite data for societal benefit.
Primary Convener:  Sue M Estes, University of Alabama in Huntsville, Huntsville, AL, United States
Conveners:  Ali H Omar, NASA/Langley Research Ctr, Hampton, VA, United States and John Haynes, NASA Headquarters, Earth Action Program, Washington, United States
Primary Liaison:  Sue M Estes, NASA/UAH, Earth Science, Huntsville, AL, United States
Chairs:  Ali H Omar, NASA/Langley Research Ctr, Hampton, VA, United States and Sue M Estes, NASA/UAH, Earth Science, Huntsville, AL, United States
OSPA Liaison:  Sue M Estes, NASA/UAH, Earth Science, Huntsville, AL, United States
Index Terms:

0230 Impacts of climate change: human health [GEOHEALTH]
0240 Public health [GEOHEALTH]
0245 Vector born diseases [GEOHEALTH]
0299 General or miscellaneous [GEOHEALTH]

Abstracts Submitted to this Session:

NASA’s Multi-Angle Imager for Aerosols (MAIA) Earth Venture Instrument Investigation (374557)
Stacey W Boland1, David J Diner1, John C Pearson2, Kevin A Burke2 and The MAIA Team, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Combining low-cost sensor measurements and satellite aerosol optical depth to enhance the full-coverage PM2.5 prediction in Imperial County, CA (378714)
Keyong Huang1,2, Jianzhao Bi1, Jennifer Stowell3, Edmund Seto4, Paul English5, Patrick L Kinney6, Frank Freedman7 and Yang Liu8, (1)Emory University, Atlanta, GA, United States, (2)Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, (3)Emory University, Gangarosa Department of Environmental Health, Atlanta, United States, (4)University of Washington, Seattle, United States, (5)California Department of Public Health, Sacramento, United States, (6)Boston University School of Public Health, Boston, United States, (7)San Jose State University, San Jose, CA, United States, (8)Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States
The sensitivity of satellite-based PM2.5 estimates to its inputs: implications to model development in data-poor regions (392055)
Guannan Geng, Emory University, Department of Environmental Health Sciences, Atlanta, GA, United States, Nancy L Murray, Emory University, Atlanta, United States, Howard H. Chang, Emory University, Department of Biostatistics and Bioinformatics, Atlanta, GA, United States and Yang Liu, Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States
Source Attribution of Climate and Health Impacts from Aerosols (409519)
Omar Nawaz, University of Colorado Boulder, Boulder, CO, United States, Daven K Henze, University of Colorado Boulder, Boulder, United States and Christopher Malley, University of York, Stockholm Environment Institute, York, United Kingdom
The Potential of Satellites to Investigate the Lithosphere-Atmosphere Coupling Processes Linked to Geo-health Environment (416999)
Dimitar Ouzounov, Chapman University, Institute for Earth, Computing, Human and Observing (Institute for ECHO), Orange, CA, United States, Sergey A Pulinets, Space Research Institute (IKI), Moscow, Russia, Leonid Petrov, NASA Goddard Space Flight Center, Falls Church, VA, United States, Vassilios K Karastathis, National Observatory of Athens, Athens, Greece, Giovanni Martinelli, ARPAE Environmental Protection Agency of Emilia Romagna, Emilia Romagna, Italy, Susana M Barbosa, INESC TEC, Porto, Portugal, Gabriele M. Berberich, Technical University of Dortmund, Dortmund, Germany, Georgios Eleftheriou, National Technical University of Athens (NTUA), Marousi Athens, Greece and Andrew Papilion, Chapman University, Center of Excellence in Earth Systems Modeling & Observations, Orange, VA, United States
Impacts of Snow and Cloud Covers on Satellite-Derived PM2.5 Concentrations (429419)
Jianzhao Bi1, Jessica H Belle1, Yujie Wang2, Alexei Lyapustin3, Avani Wildani4 and Yang Liu5, (1)Emory University, Atlanta, GA, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)Emory University, Department of Computer Science, Atlanta, GA, United States, (5)Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States
Mapping and Monitoring Myanmar’s Malaria Landscape (442117)
Tatiana V Loboda, University of Maryland, College Park, United States, Mark Carroll, NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States, Dong Chen, University of Maryland, Department of Geographical Sciences, College Park, United States and Amanda Hoffman-Hall, Eckerd College, St. Petersburg, FL, United States
Smoke exposure and associated health effects across several fire seasons and locations in the Western US (443237)
Katelyn O'Dell1, Bonne Ford2, Ryan Gan3, Jingyang Liu4, William Lassman5, Moira Burke6, Gabriele Pfister7, Ambarish Vaidyanathan8, John Volckens9, Sheryl Magzamen10, Emily V Fischer11 and Jeffrey R Pierce11, (1)Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, (2)Colorado State University, Cooperative Institute for Research in the Atmosphere,, Fort Collins, United States, (3)Colorado State University, Department of Environmental and Radiological Health, Fort Collins, CO, United States, (4)Colorado State University, Fort Collins, CO, United States, (5)Colorado State University, Atmospheric Science, Fort Collins, CO, United States, (6)Facebook Inc, Fremont, CA, United States, (7)NCAR/ACD, Atmospheric Chemistry, Observations, and Modeling Laboratory, Boulder, United States, (8)Center for Disease Control and Prevention, National Center for Environmental Health, Atlanta, United States, (9)Colorado State University, Mechanical Engineering, Fort Collins, CO, United States, (10)Colorado State University, Department of Environmental and Radiological Health Sciences, Fort Collins, United States, (11)Colorado State University, Department of Atmospheric Science, Fort Collins, United States
Understanding complexity in attribution of smog in agricultural Indus basin (444372)
Dr. Antarpreet Singh Jutla, PhD, University of Florida, Environmental Engineering Sciences, Ft Walton Beach, FL, United States and Moiz Usmani, University of Alabama at Birmingham, Birmingham, AL, United States
MISR and AirMSPI Observations of Speciated Airborne Particulate Matter (450913)
Olga V. Kalashnikova, Jet Propulsion Laboratory, Pasadena, CA, United States, Feng Xu, University of Oklahoma, School of Meteorology, Norman, OK, United States, David J Diner, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Michael J Garay, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Longtao Wu, California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States, Dr. Meredith Franklin, PhD, University of Southern California, Los Angeles, United States, Meytar Sorek-Hamer, NASA Ames Research Center, USRA, Moffett Field, United States, Cui Ge, University of Nebraska Lincoln, Lincoln, NE, United States, Xiaoguang Xu, University of Iowa, Chemical and Biochemical Engineering, Iowa City, United States and Jun Wang, University of Iowa, Chemical and Biochemical Engineering, Iowa City, IA, United States
Machine Learning for Data Validation and Natural Event Detection using NASA GIBS Earth Satellite Imagery (456455)
Joe T Roberts1, David D Xue2 and Lukas Mandrake1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Stanford University, Stanford, United States
Analyzing the Relationship Between Influenza-like-Illnesses (ILI’s), Mortality Rates, Temperature, Humidity, and Precipitation in Alabama from 2013-2018 using NASA’s Remotely Sensed Data (457880)
Sarah B Bateman, Maurice Estes Jr. and Robert Griffin, University of Alabama in Huntsville, Huntsville, AL, United States
Introducing New Aspects on the Physical Association between Surface PM2.5 and Satellite-Borne AOD Using Machine Learning Techniques (464777)
Meytar Sorek-Hamer, Universities Space Research Association, Mountain View, CA, United States; NASA Ames Research Center, Moffett Field, CA, United States, Kamalika Das, NASA Ames Research Center, USRA, Mountain View, CA, United States; Universities Space Research Association Moffett Field, Moffett Field, CA, United States and Yang Liu, Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States

See more of: GeoHealth