Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Adam Sisco"'
Autor:
Kaylin Bugbee, Jeanné le Roux, Adam Sisco, Aaron Kaulfus, Patrick Staton, Camille Woods, Valerie Dixon, Christopher Lynnes, Rahul Ramachandran
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
High quality descriptive metadata is essential to enabling the effective discovery of Earth observation data to a growing number of diverse users. In this paper, we define a framework to assess the quality of NASA’s Earth observation metadata with
Externí odkaz:
https://doaj.org/article/12e3cff120454943b9db4836c6d6da38
Autor:
Aaron Kaulfus, Christopher Lynnes, Adam Sisco, Camille Woods, Patrick Staton, Jeanne le Roux, Valerie Dixon, Rahul Ramachandran, Kaylin Bugbee
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
Data Science Journal; Vol 20 (2021); 17
Data Science Journal; Vol 20 (2021); 17
High quality descriptive metadata is essential to enabling the effective discovery of Earth observation data to a growing number of diverse users. In this paper, we define a framework to assess the quality of NASA’s Earth observation metadata with