Feng et al. (2025) Inferring River Channel Geometry Based on Multi-Satellite Datasets and Hydraulic Modeling

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-11-18
• Authors: Youcan Feng, Junhui Liu, Xin Huang, Shaohua Zhao, Donghe Ma, Seungyub Lee, Ruiwu Cao
• DOI: 10.3390/rs17223753

Research Groups

Not explicitly mentioned in the provided text.

Short Summary

This study proposes an innovative method integrating multi-source satellite data (Sentinel-2 and ICESat-2) and hydraulic modeling to derive accurate channel geometry for rivers in data-scarce areas, demonstrating its effectiveness in simulating 1D and 2D flows.

Objective

• To develop and validate an innovative method for deriving river channel geometry (width and bed elevation) using multi-source satellite data and hydraulic modeling, particularly for remote or data-scarce regions.

Study Configuration

• Spatial Scale: Part of the Nen River, China (river reach scale).
• Temporal Scale: 5-year period (for 1D flow simulation).

Methodology and Data

• Models used: Hydraulic modeling (for 1D and 2D flow simulations).
• Data sources: Sentinel-2 (optical satellite), ICESat-2 (lidar satellite).

Main Results

• Satellite-derived channel width showed high accuracy with an R² of 0.98 and a root mean square error (RMSE) of 35.41 meters.
• Satellite-derived bottom elevation also demonstrated good accuracy with an R² of 0.86, an RMSE of 1.77 meters, and a percent bias (PBIAS) of −0.61%.
• The derived channel geometry resulted in an overall good simulation of 1D flows over a 5-year period, achieving a Nash-Sutcliffe efficiency (NSE) of 0.94, an RMSE of 207.76 cubic meters per second, and a PBIAS of 6.19%.
• Two-dimensional (2D) inundation simulations driven by the derived channel geometry achieved accurate hydrodynamic responses.
• A limitation was observed in channel bends with complicated flow regimes, where the hypothesized rectangular channel tended to generate more different flow rates.

Contributions

• Provides an innovative and promising method for deriving river bathymetry (channel geometry) in remote or data-scarce regions.
• Applicable to both low-gradient and high-slope regions where traditional precise river topography is difficult to obtain.
• Integrates multi-source satellite data (Sentinel-2, ICESat-2) with hydraulic modeling for robust channel geometry derivation.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Feng2025Inferring,
  author = {Feng, Youcan and Liu, Junhui and Huang, Xin and Zhao, Shaohua and Ma, Donghe and Lee, Seungyub and Cao, Ruiwu},
  title = {Inferring River Channel Geometry Based on Multi-Satellite Datasets and Hydraulic Modeling},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs17223753},
  url = {https://doi.org/10.3390/rs17223753}
}