Articles | Volume 27, issue 19
https://doi.org/10.5194/hess-27-3621-2023
https://doi.org/10.5194/hess-27-3621-2023
Technical note
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13 Oct 2023
Technical note | Highlight paper |  | 13 Oct 2023

Technical note: NASAaccess – a tool for access, reformatting, and visualization of remotely sensed earth observation and climate data

Ibrahim Nourein Mohammed, Elkin Giovanni Romero Bustamante, John Dennis Bolten, and Everett James Nelson

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Cited articles

Acker, J. G. and Leptoukh, G.: Online analysis enhances use of NASA Earth science data, EOS Trans. AGU, 88, 14–17, https://doi.org/10.1029/2007EO020003, 2007. 
Arnold, J. G. and Fohrer, N.: SWAT2000: Current capabilities and research opportunities in applied watershed modelling, Hydrol. Process., 19, 563–572, https://doi.org/10.1002/hyp.5611, 2005. 
Berrick, S. W., Leptoukh, G., Farley, J. D., and Hualan, R.: Giovanni: A Web Service Workflow-Based Data Visualization and Analysis System, IEEE T. Geosci. Remote, 47, 106–113, https://doi.org/10.1109/TGRS.2008.2003183, 2009. 
Bustamante, E. and Mohammed, I. N.: tethys_nasaaccess, Zenodo [code], https://doi.org/10.5281/zenodo.8422540, 2023. 
Bustamante, G. R., Nelson, E. J., Ames, D. P., Williams, G. P., Jones, N. L., Boldrini, E., Chernov, I., and Sanchez Lozano, J. L.: Water Data Explorer: An Open-Source Web Application and Python Library for Water Resources Data Discovery, Water, 13, 1850, https://doi.org/10.3390/w13131850, 2021. 
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Executive editor
This paper presents an open-source software package for earth observation data accessing, reformatting, and visualization. This tool can be useful to the broad science community and stakeholders for effective use of remote sensing products. It lowers the technical barriers and simplifies the process of accessing earth observation data. It works for multiple operating platforms.
Short summary
We present an open-source platform in response to the NASA Open-Source Science Initiative for accessing and presenting quantitative remote-sensing earth observation,and climate data. With our platform scientists, stakeholders and concerned citizens can engage in the exploration, modeling, and understanding of data. We envisioned this platform as lowering the technical barriers and simplifying the process of accessing and leveraging additional modeling frameworks for data.
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