Gu et al. (2026) Integrating Sentinel-2 and MODIS BRDF Imagery to Invert Canopy Fractional Vegetation Cover for Forests and Analyze the Corresponding Spatio-Temporal Evolution

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Identification

• Journal: Forests
• Year: 2026
• Date: 2026-03-27
• Authors: Zhujun Gu, Jia Liu, Qinghua Fu, Xiaofeng Yue, Guanghui Liao, Jiasheng Wu, Yanzi He, Xianzhi Mai, Qiuyin He, Quanman Lin
• DOI: 10.3390/f17040426

Research Groups

Not explicitly mentioned in the provided text.

Short Summary

This study integrates Sentinel-2 and MODIS data to develop a multi-angle retrieval method for canopy fractional vegetation cover (FVCc), demonstrating improved accuracy over single-angle approaches and revealing an overall upward trend in FVCc in Changting County.

Objective

• To develop and validate a multi-angle retrieval method for estimating canopy fractional vegetation cover (FVCc) by integrating Sentinel-2 and MODIS data, and to analyze its spatial distribution and temporal dynamics.

Study Configuration

• Spatial Scale: 10 meters (for background reflectance derivation); regional (Changting County).
• Temporal Scale: Dynamic changes over time (specific duration not provided).

Methodology and Data

• Models used: Angular relationship model (for MODIS reflectance), four-scale model (for background reflectance), pixel dichotomy model (for total and shrub-herb FVC), empirical model (for FVCc retrieval).
• Data sources: Sentinel-2 satellite data, MODIS satellite data.

Main Results

• The proposed multi-angle retrieval method for FVCc achieved higher accuracy in cross-validation compared to single-angle approaches.
• The spatial distribution of FVCc in Changting County showed higher values in peripheral areas and lower values in the central region.
• Temporal transitions among fractional vegetation cover classes were predominantly upward, indicating an overall trend of continuous improvement in FVCc.

Contributions

• Development of an innovative multi-angle retrieval method for canopy fractional vegetation cover by integrating Sentinel-2 and MODIS data, demonstrating enhanced accuracy.
• Provision of important technical support and a scientific basis for estimating and monitoring dynamic changes in forest canopy FVCc.
• Detailed analysis of the spatial distribution and temporal trends of FVCc in Changting County.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Gu2026Integrating,
  author = {Gu, Zhujun and Liu, Jia and Fu, Qinghua and Yue, Xiaofeng and Liao, Guanghui and Wu, Jiasheng and He, Yanzi and Mai, Xianzhi and He, Qiuyin and Lin, Quanman},
  title = {Integrating Sentinel-2 and MODIS BRDF Imagery to Invert Canopy Fractional Vegetation Cover for Forests and Analyze the Corresponding Spatio-Temporal Evolution},
  journal = {Forests},
  year = {2026},
  doi = {10.3390/f17040426},
  url = {https://doi.org/10.3390/f17040426}
}