1. Earth Science Data Systems (ESDS) Program
  2. Competitive Programs
  3. Advancing Collaborative Connections for Earth System Science (ACCESS) Program

Advancing Collaborative Connections for Earth System Science (ACCESS) Program

NASA's Advancing Collaborative Connections for Earth System Science (ACCESS) Program develops and implements technologies to effectively manage, discover, and utilize NASA's archive of Earth observations for scientific research and applications in support of NASA's Earth science research goals. ACCESS projects improve and expand the use of NASA's Earth science data by leveraging modern techniques to address existing and anticipated future needs of the research and applied science communities in the management and analysis of large and complex Earth science data sets.

ACCESS Solicitations

ACCESS 2019

The 2019 ACCESS announcement specifically sought technology developments for one or a combination of the following areas:

  • Machine Learning (ML) for Earth Science Data Systems (including new training datasets for ML),
  • Enabling Science in the Cloud, and
  • Improvement, Maintenance, and Support of High-value Open Source Earth Science Tools and Libraries.

Successful proposals clearly identified user communities that will benefit from the technology and demonstrated linkages to pressing Earth science data management problems or the need for open source library and tool maintenance.

The Earth Science Division of NASA's Science Mission Directorate selected 11 proposals for three-year awards pending satisfactory budget and work plan negotiations. The selected investigations are listed below, including principal investigator and institution.

ACCESS 2017

ACCESS 2017 teams were required to include both information technology and Earth science expertise, and projects were required to be tied directly to specific issues facing Earth science and applied science users interacting with NASA's Earth Observing System Data and Information System (EOSDIS). Technology focus areas include machine learning, advanced search capabilities, and cloud-optimized preprocessing and data transmission.

The projects:

Browse the complete list of all previous ACCESS projects.

Page Last Updated: Sep 24, 2020 at 1:19 PM EDT