Using NASA Earth Observations to Enable Open Science
Topics: Earth Science
, Geographic Information Science and Systems
, Remote Sensing
Keywords: Earth Science, climate, Earth observations, GIS, Open Science
Session Type: Virtual Paper Abstract
Day: Tuesday
Session Start / End Time: 3/1/2022 02:00 PM (Eastern Time (US & Canada)) - 3/1/2022 03:20 PM (Eastern Time (US & Canada))
Room: Virtual 8
Authors:
Leah Schwizer, NASA Earth Science Data Systems
Cynthia Hall, NASA Earth Science Data Systems
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Abstract
We are one planet, one human race, working together to understand our world – the systems, the people, the places and the complexities that underly them all. To enhance our understanding, NASA’s Earth Science Division (ESD) employs a fleet of satellites equipped with sensors that collect petabytes worth of Earth observations aimed to help scientists and researchers learn more. NASA’s ESD missions give researchers unprecedented insights into Earth’s systems and are driven by the integration and harmonization of data sources from multiple spatial scales. NASA Earth science data provide a wealth of information to aid in our understanding of Earth’s processes, in the development of innovative solutions for real-world challenges, and in making data-based decisions. These datasets are freely and openly available to anyone but not always intuitively discoverable and accessible in GIS formats. NASA’s Earth Science Data Systems program has developed resources and tools to overcome this challenge. There is a growing need for NASA data to be GIS-ready for easy integration and analysis in the primary tools employed by user communities. Join us to learn about how NASA Earth Science is enabling data through services, applications and story maps and distributing content through online platforms. Learn about our Earthdata community space and GIS Data Pathfinder, developed to guide users to numerous geospatial web services and tools to access GIS-ready data.
Using NASA Earth Observations to Enable Open Science
Category
Virtual Paper Abstract
Description
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