Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 19
Articles | Volume 27, issue 19
https://doi.org/10.5194/hess-27-3621-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-3621-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 19
Technical note
 | Highlight paper
 | 
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

Viewed

Total article views: 3,500 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,995 424 81 3,500 66 63
  • HTML: 2,995
  • PDF: 424
  • XML: 81
  • Total: 3,500
  • BibTeX: 66
  • EndNote: 63
Views and downloads (calculated since 27 Feb 2023)
Cumulative views and downloads (calculated since 27 Feb 2023)

Viewed (geographical distribution)

Total article views: 3,500 (including HTML, PDF, and XML) Thereof 3,381 with geography defined and 119 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Read more
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.
Read more