IN020
Near Real-Time/ Low Latency Data and Tools for Earth Science Applications

Session ID#: 156894

Session Description:
Data latency is a critical component in earth science applications. Real-time (RT)/ near real-time (NRT)/low latency data applied to satellite, airborne, marine, and surface sensors are transforming existing end-user applications and spawning new ones. These applications demonstrate the utility of timely data and advanced analyses in diverse earth science disciplines. This session seeks contributions that demonstrate the technologies, tools, data products, and applications that reduce the latency of NRT workflows including machine learning, discuss plans for NRT/RT decision support system capabilities based on increased leveraging “Big Earth/Space Data”, or identify gaps in current capabilities. To build a bridge between data providers and users, we invite actual and potential users of RT/NRT/low latency data products to share how they are applied to the specific decision in the event timeline. This session will feature a panel to spark conversation between data providers and users representing government agencies, universities, NGOs and private sectors.
Co-Organized:
  • NH - Natural Hazards
Co-Sponsor(s):
  • AMS: American Meteorological Society -
Index Terms:

1916 Data and information discovery [INFORMATICS]
3390 Wildland fire model [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]

Primary Convener:  David S Green, NASA Headquarters, Application Science - Wildfires, Washington, DC, United States
Conveners:  Vanessa M Escobar, NOAA Washington DC, 2., NOAA/NASA GEO-XO, Washington, DC, United States, Brad Quayle, USDA Forest Service, Vallejo, CA, United States and Tian Yao, Universities Space Research Association Greenbelt, Greenbelt, MD, United States
 
Implementation and Validation of L-Band SAR Fuel Products for the Wildfire Cycle in Conjunction with FASMEE Prescribed Burn Campaigns (1064533)
Karen An, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Adam Watts, U.S. Forest Service, Pacific Northwest Research Station, Wenatchee, United States, Yunling Lou, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Cathleen Jones, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Why Near Real-time/Low Latency is Important to Monitor the Changing World (1074100)
Tian Yao, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Diane Davies, Seattle, WA, United States; Trigg-Davies Consulting Ltd., Malvern, United Kingdom, Karen Michael, NASA Goddard Space Flight Center, Greenbelt, United States and David S Green, NASA Headquarters, Application Science - Wildfires, Washington, DC, United States
 
Creating an Accessible and Interactive Air Quality Data Network for Public Libraries Serving Diverse Communities in the Hudson Valley (1074588)
Mikala L'Hote, Bard College, Annandale-On-Hudson, NY, United States, Beate Liepert, Bard College, Physics, Annandale-On-Hudson, United States and M. Elias Dueker, Bard College, Environmental and Urban Studies, Annandale-On-Hudson, United States
 
Getting the MOST from UAVSAR: Near-Real-Time Products for Oil Spill Response (1078190)
Cathleen E Jones1, Karen An1, Oscar G Garcia-Pineda2, George Graettinger3, Benjamin Holt1, Yunling Lou4, Francis M Monaldo5, Annemarie Peacock4 and Ellen M Ramirez6, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Florida State University, Tallahassee, FL, United States, (3)NOAA, Seattle, WA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)National Oceanic and Atmospheric Administration, College Park, United States, (6)National Environmental Satellite, Data, and Information Service, Silver Spring, MD, United States
 
A Global Precipitation Perspective on the Need for Speed (1079123)
George John Huffman, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Chris C Funk, University of California Santa Barbara, Santa Barbara, CA, United States and Christopher Kidd, Earth System Science Interdisciplinary Center, College PARK, MD, United States
 
The NOAA/NESDIS Next Generation Wildland Fire System: Actionable Information for Timely Decision-making (1087203)
Michael J Pavolonis, NOAA Madison, NESDIS/STAR, Madison, WI, United States and Ivan Andras Csiszar, NOAA/NESDIS, College Park, United States
 
The NASA GSFC Near Real Time Flood Mapping System (1088274)
Frederick S Policelli, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, G Robert Brakenridge, CSDMS Facility, INSTAAR, Boulder, CO, United States, Albert Kettner, University of Colorado Boulder, INSTAAR, Boulder, CO, United States and Beth Tellman, University of Arizona, School of Geography, Development and Environment, Tucson, AZ, United States
 
Enhancing Direct Readout Capabilities for Day-Night Monitoring of Volcanic SO2 and Ash for Aviation Avoidance at Northern Polar Latitudes (1091687)
Nickolay Anatoly Krotkov1, Vincent J Realmuto2, Can Li3, Colin J Seftor4, Jason Y Li4, Kelvin W Brentzel5, Martin Stuefer6, Jay Cable7, Carl Dierking7, Jennifer Delamere6, David J Schneider8, Johanna Tamminen9, Seppo Hassinen10, Timo Ryyppö11, John J Murray12, Simon A Carn13, Nathan Eckstein14, Garrett Layne15 and Keith D Evans16, (1)NASA Goddard Space Flight Center, Greenbelt, United States, (2)JPL, Pasadena, United States, (3)Earth System Science Interdisciplinary Center, University of Maryland, College Park, United States, (4)Science Systems and Applications, Inc., Lanham, United States, (5)NASA GSFC Direct Readout Laboratory, Greenbelt, MD, United States, (6)University of Alaska Fairbanks, Geophysical Institute, Fairbanks, AK, United States, (7)University of Alaska Fairbanks, Geographic Information Network of Alaska, Fairbanks, AK, United States, (8)USGS Alaska Volcano Observatory, Anchorage, United States, (9)Finnish Meteorological Inst., Helsinki, Finland, (10)Finnish Meteorological Institute, Helsinki, Finland, (11)Finnish Meteorological Institute, Sodankyla satellite center, Sodankyla, Finland, (12)NASA Langley Research Center, Hampton, VA, United States, (13)Michigan Technological University, Department of Geological and Mining Engineering & Sciences, Houghton, MI, United States, (14)NOAA National Weather Service Alaska, Anchorage Volcanic Ash Advisory Center, Anchorage, AK, United States, (15)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (16)University of Maryland Baltimore County, GESTAR II, Baltimore, MD, United States
 
L-Band InSAR for Measuring Ground Displacement in Vegetated Arctic Landscapes and Sinking Cities (1097410)
Murray Down, 3vGeomatics, Vancouver, BC, Canada
 
Open Data Integration (ODIN): A Concurrent, Distributed Message-Based Architecture and Framework for Disaster Response. (1097580)
Joseph c Coughlan1, Peter C Mehlitz2, Guillaume P Brat3, Hannah S Walsh3, Sequoia R Andrade2 and Carlos V Paradis2, (1)NASA Ames Research Center, Moffett Field, United States, (2)KBR Wyle Services, LLC, NASA Ames Research Center, Intelligent Systems Division, Moffett Field, United States, (3)NASA Ames Research Center, Intelligent Systems Division, Moffett Field, United States
 
Güralp Data Centre Software for Easy Mass Data Acquisition and Station Metadata Monitoring (1103704)
James Lindsey1, Will Reis2, Neil Watkiss1, Phil Hill2 and Dan Whealing2, (1)Guralp Systems Ltd., Reading, RG7, United Kingdom, (2)Guralp Systems Ltd., Reading, United Kingdom
 
GNSS Real-Time Data and Product Streams at NASA’s CDDIS: User Applications and Caster Performance Improvements (1153275)
Sandra Melissa Blevins1, Taylor A. Yates2, Nathan Pollack1, Jennifer Ash3, James Roark4 and Benjamin P Michael3, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)Science Systems and Applications, Inc., Greenbelt, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Code 690.1, Greenbelt, MD, United States
 
Pegasus Remote Data and SOH for Earth Science Applications (1154235)
David Easton, Nanometrics Inc, Kanata, ON, Canada, Michael Perlin, Nanometrics Inc, Ottawa, Canada and Sylvain Pigeon, Nanometrics Inc., Ottawa, Canada
 
Narrowing the Latency Gap for Disaster Response and Open Science: ARIA’s Analysis-Ready Displacement Data for Everyone (1159601)
Mary Grace Bato1, David P Bekaert1, Paul Lundgren2, Eric Jameson Fielding2, Simran Singh Sangha1, Joseph H Kennedy3, Charles Marshak4 and Andrew Johnston5, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)University of Alaska Fairbanks, Fairbanks, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (5)Alaska Satellite Facility, Fairbanks, United States
 
ASAP or AAAP? The Importance of Tradeoffs Between Detection Time and Accuracy for Multisource Deforestation Monitoring (1165284)
Ian McGregor, North Carolina State University Raleigh, Center for Geospatial Analytics, Raleigh, NC, United States and Joshua Gray, North Carolina State University, Center for Geospatial Analytics, Raleigh, NC, United States; North Carolina State University, Forestry and Environmental Resources, Raleigh, United States
 
Ultra Real-Time and Near Real-Time wildfire detection enhancements for the US and Canada through NASA’s Fire Information for Resource Management System (FIRMS) (1169361)
Jenny Hewson, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Brad Quayle, USDA Forest Service, Vallejo, CA, United States and Diane Davies, Seattle, WA, United States; NASA Goddard Space Flight Center, ESDIS Code 423, Greenbelt, United States
 
Dissemination of Global Flood Information Through NASA Disasters Program Global Initiative for Flood Forecasting and Alerting (GIFFT) (1174810)
Margaret T Glasscoe1, Bandana Kar2, Franz Josef Meyer3, Kristy French Tiampo4, Marlon Edwin Pierce5, Charles K Huyck6, Chris Chiesa7, Greg Hampe7, Batuhan Osmanoglu8 and Lori A. Schultz9, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)Oak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, TN, United States, (3)University of Alaska Fairbanks, Fairbanks, United States, (4)University of Colorado at Boulder, Department of Geological Sciences, Boulder, CO, United States, (5)Indiana University Bloomington, Bloomington, IN, United States, (6)ImageCat, Inc., Long Beach, CA, United States, (7)Pacific Disaster Center, Kihei, HI, United States, (8)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (9)NASA Marshall Space Flight Center, Huntsville, United States
 
Enabling wildfire situational awareness using Near-Data Computing for on-board real-time remote-sensing data registration (1177553)
Michael Lee Rilee, Bayesics LLC, Derwood, United States, Damon C. Bradley, DeepSpace Technologies (DST), Laurel, United States, Kwo-Sen Kuo, NASA Goddard SFC, Greenbelt, MD, United States; Bayesics, LLC, Bowie, United States, Udaysankar Nair, University of Alabama in Huntsville, Huntsville, AL, United States, Niklas Fabian Griessbaum, University of California Santa Barbara, Bren School, Santa Barbara, CA, United States and Dai Hai Ton That, The University of Alabama in Huntsville, Huntsville, United States
 
Human-robot teaming for real-time data foraging decisions (1197046)
Cristina G Wilson1, Shipeng Liu2, John Ruck3, Douglas J Jerolmack3, Thomas F. Shipley4, Mingzhuo Li5, Zeyu Wang5 and Feifei Qian2, (1)Oregon State University, Corvallis, OR, United States, (2)University of Southern California, Electrical Engineering, Los Angeles, CA, United States, (3)University of Pennsylvania, Department of Earth & Environmental Science, Philadelphia, PA, United States, (4)Temple University, Psychology, Philadelphia, PA, United States, (5)University of Southern California, Electrical Engineering, Los Angeles, United States
 
Machine Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Perimeters using VIIRS Satellite Data (1198248)
Mukul Badhan1, Kasra Shamsaei2, Neil Lareau3, Hamed Ebrahimian2 and George Bebis4, (1)University of Nevada Reno, Computer Science, Reno, United States, (2)University of Nevada, Reno, Civil and Environmental Engineering, Reno, United States, (3)University of Nevada Reno, Reno, NV, United States, (4)University of Nevada Reno, Computer Science, Reno, NV, United States
See more of: Earth and Space Science Informatics
<< Previous Session Proposal | Next Session Proposal >>