Melnyk et al. (2025) Seasonal and Long-Term Water Regime Trends of Cheremsky Wetland: Analysis Based on Sentinel-2 Spectral Indices and Composite Indicator Development

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Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-07-09
• Authors: Oleksandr Melnyk, Ansgar Brunn
• DOI: 10.3390/rs17142363

Research Groups

Not specified

Short Summary

This study analyzes long-term seasonal water surface trends in the Cheremsky Nature Reserve (Ukraine) using Sentinel-2 data to develop a composite index (CI) for integrated wetland monitoring.

Objective

• To assess long-term (2017–2024) seasonal trends in water surface conditions and develop an integrated composite index for the monitoring of the Cheremsky Nature Reserve.

Study Configuration

• Spatial Scale: Cheremsky Nature Reserve, Ukrainian Polissya.
• Temporal Scale: 2017–2024 (Spring and Summer seasons).

Methodology and Data

• Models used: Sen’s method (trend analysis), Principal Component Analysis (PCA), and the development of a Composite Index (CI).
• Data sources: Sentinel-2 satellite imagery processed via the Google Earth Engine platform.

Main Results

• Calculated 14 spectral water indices to evaluate water surface dynamics.
• Identified significant seasonal differences in the behavior of spectral indices and their contributions to principal components.
• Observed spatial differentiation in water regime trends across the reserve.
• Developed a composite index (CI) based on normalized trends and weights from the first two principal components for integrated seasonal assessment.

Contributions

• Provides a methodology for integrating multiple spectral indices into a single composite index (CI) to monitor long-term wetland dynamics in complex regions, aiding in conservation and management strategies.

Funding

Not specified

Citation

@article{Melnyk2025Seasonal,
  author = {Melnyk, Oleksandr and Brunn, Ansgar},
  title = {Seasonal and Long-Term Water Regime Trends of Cheremsky Wetland: Analysis Based on Sentinel-2 Spectral Indices and Composite Indicator Development},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs17142363},
  url = {https://doi.org/10.3390/rs17142363}
}