Merging Remote Sensing Derived River Slope Datasets with High-Resolution Hydrofabrics for the United States
The CONtiguous United States scale (CONUS) Flood Inundation Mapping Hydrofabric - ICESat-2 River Surface Slope (FIM HF IRIS) dataset integrates satellite-derived global IRIS river slopes for 117,357 spatially corresponding main-stream reaches within National Oceanic and Atmospheric Administration (NOAA) Office of Water Prediction operational FIM forecasting system (OWP HAND-FIM). A spatial joining approach was first developed to align FIM HF and IRIS reaches, addressing differences in reach flowline sources. Original FIM HF slopes had an average bias of 76 ± 168% relative to IRIS slopes. Applying to OWP HAND-FIM, FIM HF IRIS improved FIM accuracy by average 31 ± 25% (CSI) across eight flood events compared to the FIM HF slopes. Using a common attribute, IRIS data were transferred from FIM HF IRIS to the CONUS Next Generation Water Resources Modeling Framework Hydrofabric (NextGen HF), creating the NextGen HF IRIS dataset. Leveraging a common attribute, the resulting datasets enable using SWOT vector data within OWP HAND-FIM and NextGen. The spatial joining approach enabling integrating the hydrofabrics with other hydrologic datasets via flowlines is provided.
Authors
- Dinuke Munasinghe (ORCID: https://orcid.org/0000-0001-7504-0910)
- Sagy Cohen (ORCID: https://orcid.org/0000-0002-3354-2864)
- Dipsikha Devi (ORCID: https://orcid.org/0000-0002-2387-3889)
- Anupal Baruah (ORCID: https://orcid.org/0009-0001-9383-4762)
- Yixian Chen (ORCID: https://orcid.org/0000-0002-7710-580X)
- Dan Tian (ORCID: https://orcid.org/0000-0002-9558-8796)
- Supath Dhital (ORCID: https://orcid.org/0000-0002-9535-8544)
Institutions
- University of Alabama (US)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-10-20
- DOI
- https://doi.org/10.1038/s41597-025-05941-6
- Citations
- 2
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.21
Funders
- National Oceanic and Atmospheric Administration