IN23A:
Enabling Cloud Applications for Earth Science Data I Posters

Submit an Abstract to this Session



Session ID#: 21938

Session Description:
The ongoing body of Earth observations and model outputs comprises highly diverse datasets that span orders of magnitude in files sizes as well as in spatial and temporal extent and resolution. Assembling and computing on multiple sources and types of these data is therefore difficult, yet is increasingly necessary for understanding changing environmental conditions and supporting decisions.

This session seeks papers on the technical challenges and applied use of Cloud computing for Earth science modeling, simulation, reprocessing, intercomparison, analysis, product generation, and decision support. Submissions are welcomed on topics such as efficiently transferring, synchronizing, and validating data in the Cloud; approaches for discovery, organization, integration, or semantic linking of datasets in the Cloud; management of cloud instances; case studies demonstrating the benefit (or not) of Cloud computing; successful applications of Cloud computing to support decision-making; and other relevant subjects.

Primary Convener:  Jeff de La Beaujardière, NOAA National Environmental Satellite, Data, and Information Service, Silver Spring, MD, United States
Conveners:  Emily Law, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Michael M Little, NASA Headquarters, Washington, DC, United States and Steve Aulenbach, USGS Core Science Analytics, Synthesis, and Libraries, Denver, CO, United States
Chairs:  Steve Aulenbach, USGS Core Science Analytics, Synthesis, and Libraries, Denver, CO, United States and Michael M Little, NASA Headquarters, Washington, DC, United States
OSPA Liaison:  Erin Robinson, Federation of Earth Science Information Partners, Boulder, CO, United States
Index Terms:

1908 Cyberinfrastructure [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]

Abstracts Submitted to this Session:

Crop classification and mapping based on Sentinel missions data in cloud environment (222363)
Mykola S. Lavreniuk1,2, Nataliia Kussul1,2, Andrii Shelestov1,2 and Vladimir Vasiliev3, (1)EOSDA, Kyiv, Ukraine, (2)Space Research Institute NAS Ukraine and SSA Ukraine, Kyiv, Ukraine, (3)EOSDA, Dnipro, Ukraine
Cloud-based calculators for fast and reliable access to NOAA’s geomagnetic field models (254960)
Adam Woods1,2, Manoj C Nair3, Nir Boneh2 and Arnaud Chulliat4, (1)University of Colorado Boulder, Boulder, CO, United States, (2)University of Colorado, Boulder, CO, United States, (3)University of Colorado, Boulder, United States, (4)NOAA National Centers for Environmental Information, Boulder, United States
Satellite Cloud and Radiative Property Processing and Distribution System on the NASA Langley ASDC OpenStack and OpenShift Cloud Platform (258839)
Louis Nguyen1, Thad Chee2, Rabindra Palikonda3, William L Smith Jr4, Kristopher M Bedka5, Douglas Spangenberg3, Andrei Vakhnin3, Nora E Lutz3, Jeff Walter6 and John Kusterer7, (1)NASA Langley Research Center, Climate Science Branch, Hampton, United States, (2)ADNET Systems Inc., NASA Langley Research Center, Hampton, VA, United States, (3)Science Systems & Applications, Inc., Hampton, VA, United States, (4)NASA Langley Research Center, Hampton, VA, United States, (5)NASA Langley Research Center, Climate Science Branch, Hampton, VA, United States, (6)NASA Langley Research Center, Atmospheric Science Data Center, Hampton, VA, United States, (7)NASA Langley Research Center, Atmospheric Science Data Center, Hampton, United States
Hybrid Pluggable Processing Pipeline (HyP3): Programmatic Access to Cloud-Based Processing of SAR Data (291285)
Rohan Weeden, William Blaine Horn, Hal Dimarchi, Scott A Arko and Kirk Hogenson, Alaska Satellite Facility, Fairbanks, AK, United States
Giovanni in the Cloud: Earth Science Data Exploration in Amazon Web Services (285812)
Maksym Petrenko, NASA Goddard Space Flight Center, Greenbelt, United States; ADNET Systems Inc. Lanham, Lanham, MD, United States, Mahabal Hegde, NASA GES DISC, Greenbelt, United States, Christine Smit, NASA Goddard Space Flight Center, Goddard Earth Sciences Data and Information Services Center, Greenbelt, MD, United States, Hailiang Zhang, ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, Paul Pilone, Element84, Alexandria, VA, United States, Andrey A. Zasorin, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Long Pham, NASA Goddard Space Flight Center, GES DISC, Greenbelt, United States
Data-Proximate Analysis and Visualization in the Cloud using Cloudstream, an Open-Source Application Streaming Technology Stack (259552)
Ward I Fisher, University Corporation for Atmospheric Research, Unidata, Boulder, CO, United States

See more of: Earth and Space Science Informatics