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Pipeline for Applications-Based Data DiscoveryFrom disaster response and mitigation to monitoring water quality or protecting wildlife habitat, satellite Earth observation data can be applied in countless ways to meet pressing needs and benefit society. The crucial first step toward successful data application is data discovery. Potential users often know exactly what data they need--what Earth feature or phenomenon they need to observe, how frequently, and at what resolution or level of accuracy--but may still struggle to discover the existing observations that meet their needs. We have developed a pipeline to connect applications-based users to specific satellites and data collections within NASA's Earth observation program of record that are highly relevant to their data needs. This pipeline combines available information on satellite and instrument measurement characteristics with an innovative machine learning-based approach that identifies instruments that are most relevant to the feature or phenomenon of interest.
Document ID
20205010502
Acquisition Source
Marshall Space Flight Center
Document Type
Poster
Authors
Katrina S Virts
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Prasanna Koirala
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Iksha Gurung
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Dai-Hai Ton That
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Muthukumaran Ramasubramanian
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Brian Matthew Freitag
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Rahul Ramachandran
(Marshall Space Flight Center Redstone Arsenal, Alabama, United States)
Date Acquired
November 20, 2020
Subject Category
Computer Systems
Computer Programming And Software
Meeting Information
Meeting: AGU Fall Meeting
Location: Virtual
Country: US
Start Date: December 1, 2020
End Date: December 17, 2020
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
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