Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education Cover

Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education

Data Science Journal

Volume 22 (2023): Issue 1

By: Zhong Liu , Chung-Lin Shie , Suhung Shen, James Acker, Angela Li, Jennifer C. Wei and David J. Meyer

Open Access

|Apr 2023

Authors

Zhong Liu

Zhong.Liu@nasa.gov

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); George Mason University

Chung-Lin Shie

clshie@umbc.edu

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); University of Maryland Baltimore County (retired)

Suhung Shen

suhung.shen-1@nasa.gov

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); George Mason University

James Acker

james.g.acker@nasa.gov

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); Adnet Systems, Inc.

Angela Li

angela.w.li@nasa.gov

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)

Jennifer C. Wei

jennifer.c.wei@nasa.gov

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)

David J. Meyer

david.j.meyer@nasa.gov

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)

DOI: https://doi.org/10.5334/dsj-2023-009 | Journal eISSN: 1683-1470

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Language: English

Submitted on: Nov 17, 2022

Accepted on: Feb 28, 2023

Published on: Apr 28, 2023

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

data discoverability,

remote sensing,

interdisciplinary,

recommendations

© 2023 Zhong Liu, Chung-Lin Shie, Suhung Shen, James Acker, Angela Li, Jennifer C. Wei, David J. Meyer, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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