Zhang et al. (2026) An Efficient Approach Integrating Sentinel-1 and Sentinel-2 Imagery for Mapping Permanent and Seasonal Water Area

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yang Zhang, Qi Yi, Zhengbao Sun, Tao Wei
• DOI: 10.1109/jstars.2026.3673591

Research Groups

Not specified in the provided text.

Short Summary

This paper presents an efficient approach that integrates Sentinel-1 and Sentinel-2 satellite imagery to accurately map both permanent and seasonal water areas.

Objective

• To develop and evaluate an efficient methodology for distinguishing and mapping permanent and seasonal water bodies by leveraging the complementary strengths of Sentinel-1 (radar) and Sentinel-2 (optical) satellite data.

Study Configuration

• Spatial Scale: Regional to local scale, depending on the specific study area (not specified in the provided text).
• Temporal Scale: Multi-temporal analysis to capture hydrological variations necessary for differentiating permanent from seasonal water (specific period not specified).

Methodology and Data

• Models used: Not explicitly stated, but the approach likely involves image processing algorithms for SAR and optical data fusion, classification, and change detection.
• Data sources: Sentinel-1 (Synthetic Aperture Radar) and Sentinel-2 (Multi-spectral Optical) satellite imagery.

Main Results

Not specified in the provided text.

Contributions

Not specified in the provided text.

Funding

Not specified in the provided text.

Citation

@article{Zhang2026Efficient,
  author = {Zhang, Yang and Yi, Qi and Sun, Zhengbao and Wei, Tao},
  title = {An Efficient Approach Integrating Sentinel-1 and Sentinel-2 Imagery for Mapping Permanent and Seasonal Water Area},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3673591},
  url = {https://doi.org/10.1109/jstars.2026.3673591}
}