Long et al. (2025) Refined River Discharge Estimation Through Integrating Multisource Satellite Remote Sensing and Aerial Photogrammetry

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-08
• Authors: H. M. Long, Qihang LIU, Chang HUANG, Yuanzheng Cui
• DOI: 10.1109/jstars.2025.3641233

Research Groups

This study aims to improve river discharge estimation by integrating data from multisource satellite remote sensing and aerial photogrammetry.

Objective

• To refine the accuracy of river discharge estimation by integrating multisource satellite remote sensing data with aerial photogrammetry.

Study Configuration

• Spatial Scale:
• Temporal Scale:

Methodology and Data

• Models used:
• Data sources: Multisource Satellite Remote Sensing, Aerial Photogrammetry

Main Results

Contributions

Funding

Citation

@article{Long2025Refined,
  author = {Long, H. M. and LIU, Qihang and HUANG, Chang and Cui, Yuanzheng},
  title = {Refined River Discharge Estimation Through Integrating Multisource Satellite Remote Sensing and Aerial Photogrammetry},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3641233},
  url = {https://doi.org/10.1109/jstars.2025.3641233}
}