Articles | Volume 21, issue 1
https://doi.org/10.5194/bg-21-241-2024
https://doi.org/10.5194/bg-21-241-2024
Research article
 | 
16 Jan 2024
Research article |  | 16 Jan 2024

Coupling numerical models of deltaic wetlands with AirSWOT, UAVSAR, and AVIRIS-NG remote sensing data

Luca Cortese, Carmine Donatelli, Xiaohe Zhang, Justin A. Nghiem, Marc Simard, Cathleen E. Jones, Michael Denbina, Cédric G. Fichot, Joshua P. Harringmeyer, and Sergio Fagherazzi

Viewed

Total article views: 1,676 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,274 338 64 1,676 91 37 40
  • HTML: 1,274
  • PDF: 338
  • XML: 64
  • Total: 1,676
  • Supplement: 91
  • BibTeX: 37
  • EndNote: 40
Views and downloads (calculated since 18 Jul 2023)
Cumulative views and downloads (calculated since 18 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,676 (including HTML, PDF, and XML) Thereof 1,630 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
This study shows that numerical models in coastal areas can greatly benefit from the spatial information provided by remote sensing. Three Delft3D numerical models in coastal Louisiana are calibrated using airborne SAR and hyperspectral remote sensing products from the recent NASA Delta-X mission. The comparison with the remote sensing allows areas where the models perform better to be spatially verified and yields more representative parameters for the entire area.
Altmetrics
Final-revised paper
Preprint