Bonnema et al. (2026) An Estimate of Effective Resolution for CYGNSS Surface Water Detection Revealed by Comparison With Multisensor Optical Data

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Matthew Bonnema, Cédric H. David, Brandi Downs, Eric Loria, Mary Morris, Hai Nguyen
• DOI: 10.1109/jstars.2026.3666143

Research Groups

[Not available from provided text]

Short Summary

This study aims to quantify the effective spatial resolution of CYGNSS for surface water detection by comparing its observations with those from multisensor optical data.

Objective

• To estimate the effective resolution of CYGNSS for surface water detection.
• To compare CYGNSS surface water detection capabilities against multisensor optical data.

Study Configuration

• Spatial Scale: [Not specified, but focuses on surface water bodies.]
• Temporal Scale: [Not specified, but implies concurrent or overlapping observations for comparison.]

Methodology and Data

• Models used: [Not specified in the provided text, likely involves water detection algorithms for both data types.]
• Data sources: CYGNSS (Cyclone Global Navigation Satellite System) data, Multisensor optical data.

Main Results

[Not available from provided text]

Contributions

[Not available from provided text]

Funding

[Not available from provided text]

Citation

@article{Bonnema2026Estimate,
  author = {Bonnema, Matthew and David, Cédric H. and Downs, Brandi and Loria, Eric and Morris, Mary and Nguyen, Hai},
  title = {An Estimate of Effective Resolution for CYGNSS Surface Water Detection Revealed by Comparison With Multisensor Optical Data},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3666143},
  url = {https://doi.org/10.1109/jstars.2026.3666143}
}