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

Data sets

oastwide Reference Monitoring System-Wetlands Monitoring Data, Retrieved from Coastal Information Management System (CIMS) database Coastal Protection and Restoration Authority (CPRA) of Louisiana http://cims.coastal.louisiana.gov

National Water Information System data available on the World Wide Web (USGS Water Data for the Nation) U.S. Geological Survey https://doi.org/10.5066/F7P55KJN

CO-OPS Water Level Data from the Coastal Tide Gauge and Great Lake Water Level Network of the United States and US Territories Center for Operational Oceanographic Products and Services (CO-OPS) https://doi.org/10.25921/dt9g-2p60

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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.
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