Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-75-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-75-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Data description paper
 | 
08 Jan 2024
Data description paper |  | 08 Jan 2024

AltiMaP: altimetry mapping procedure for hydrography data

Menaka Revel, Xudong Zhou, Prakat Modi, Jean-François Cretaux, Stephane Calmant, and Dai Yamazaki

Viewed

Total article views: 2,268 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,729 435 104 2,268 50 92 84
  • HTML: 1,729
  • PDF: 435
  • XML: 104
  • Total: 2,268
  • Supplement: 50
  • BibTeX: 92
  • EndNote: 84
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads (calculated since 21 Feb 2023)

Viewed (geographical distribution)

Total article views: 2,268 (including HTML, PDF, and XML) Thereof 2,197 with geography defined and 71 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Mar 2025
Download
Short summary
As satellite technology advances, there is an incredible amount of remotely sensed data for observing terrestrial water. Satellite altimetry observations of water heights can be utilized to calibrate and validate large-scale hydrodynamic models. However, because large-scale models are discontinuous, comparing satellite altimetry to predicted water surface elevation is difficult. We developed a satellite altimetry mapping procedure for high-resolution river network data.
Read more
Share
Altmetrics
Final-revised paper
Preprint