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  • 1
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    An Overview of the Challenges With and Proposed Solutions for the Ingest and Distribution Processes for Airborne Data Management (2015)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The current data management practices for NASA airborne field projects have successfully served science team data needs over the past 30 years to achieve project science objectives, however, users have discovered a number of issues in terms of data reporting and format. The ICARTT format, a NASA standard since 2010, is currently the most popular among the airborne measurement community. Although easy for humans to use, the format standard is not sufficiently rigorous to be machine-readable. This makes data use and management tedious and resource intensive, and also create problems in Distributed Active Archive Center (DAAC) data ingest procedures and distribution. Further, most DAACs use metadata models that concentrate on satellite data observations, making them less prepared to deal with airborne data.
    Keywords: Computer Operations and Hardware
    Type: NF1676L-23256 , 2015 American Geophysical Union Fall Meeting; Dec 14, 2015 - Dec 18, 2015; San Francisco, CA; United States
    Format: application/pdf
    Location Call Number Expected Availability
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    NASA TECHNICAL REPORTS
  • 2
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    Toolsets for Airborne Data (TAD): Improving Machine Readability for ICARTT Data Files (2015)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The Atmospheric Science Data Center (ASDC) at NASA Langley Research Center is responsible for the ingest, archive, and distribution of NASA Earth Science data in the areas of radiation budget, clouds, aerosols, and tropospheric chemistry. The ASDC specializes in atmospheric data that is important to understanding the causes and processes of global climate change and the consequences of human activities on the climate. The ASDC currently supports more than 44 projects and has over 1,700 archived data sets, which increase daily. ASDC customers include scientists, researchers, federal, state, and local governments, academia, industry, and application users, the remote sensing community, and the general public.
    Keywords: Meteorology and Climatology; Earth Resources and Remote Sensing; Geophysics
    Type: NF1676L-23185 , American Geophysical Union; Dec 14, 2015 - Dec 18, 2015; San Francisco, CA; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    A Summary of Proposed Changes to the Current ICARTT Format Standards and their Implications to Future Airborne Studies (2015)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The Atmospheric Science Data Center (ASDC) at NASA Langley Research Center is responsible for the ingest, archive, and distribution of NASA Earth Science data in the areas of radiation budget, clouds, aerosols, and tropospheric chemistry. The ASDC specializes in atmospheric data that is important to understanding the causes and processes of global climate change and the consequences of human activities on the climate. The ASDC currently supports more than 44 projects and has over 1,700 archived data sets, which increase daily. ASDC customers include scientists, researchers, federal, state, and local governments, academia, industry, and application users, the remote sensing community, and the general public.
    Keywords: Computer Operations and Hardware
    Type: NF1676L-23186 , 2015 AGU Fall Meeting; Dec 14, 2015 - Dec 18, 2015; San Francisco, CA; United States
    Format: application/pdf
    Location Call Number Expected Availability
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    NASA TECHNICAL REPORTS
  • 4
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    ODISEES: Ontology-Driven Interactive Search Environment for Earth Sciences (2015)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This paper discusses the Ontology-driven Interactive Search Environment for Earth Sciences (ODISEES) project currently being developed to aid researchers attempting to find usable data among an overabundance of closely related data. ODISEES' ontological structure relies on a modular, adaptable concept modeling approach, which allows the domain to be modeled more or less as it is without worrying about terminology or external requirements. In the model, variables are individually assigned semantic content based on the characteristics of the measurements they represent, allowing intuitive discovery and comparison of data without requiring the user to sift through large numbers of data sets and variables to find the desired information.
    Keywords: Computer Operations and Hardware; Geosciences (General)
    Type: NF1676L-21600 , World Congress in Computer Science, Computer Engineering, and Applied Computing; Jul 27, 2015 - Jul 30, 2015; Las Vegas, NV; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 5
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    Enabling Analytics in the Cloud for Earth Science Data (2018)
    In:  CASI
    Details
    Publication Date: 2019-08-13
    Description: The purpose of this workshop was to hold interactive discussions where providers, users, and other stakeholders could explore the convergence of three main elements in the rapidly developing world of technology: Big Data, Cloud Computing, and Analytics, [for earth science data].
    Keywords: Computer Systems; Statistics and Probability
    Type: MSFC-E-DAA-TN55638 , Workshop on Enabling Analytics in the Cloud for Earth Science Data; Feb 21, 2018 - Feb 23, 2018; Annapolis, MD; United States
    Format: application/pdf
    Location Call Number Expected Availability
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    NASA TECHNICAL REPORTS
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