Wang et al. (2026) Harmonizing Fengyun-3D MERSI-II with MODIS NDVI for a Global Climate Data Record

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2026
• Date: 2026-09-08
• Authors: Yanjiao Wang, Fengjin Xiao, Linrong Wu, Feng Wang
• DOI: 10.3390/rs18183075

Research Groups

• Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
• Beijing Climate Center, China Meteorological Administration

Short Summary

This study established a framework for integrating FY-3D and MODIS NDVI data records, achieving improved consistency and reducing errors. A fused climate data record was created and operationalized at the Beijing Climate Center.

Objective

• Investigate the feasibility of combining FY-3D and MODIS NDVI data records to create a temporally consistent long-term dataset

Study Configuration

• Spatial Scale: Global land areas
• Temporal Scale: Long-term (1981-2020)

Methodology and Data

• Models used: 6S radiative transfer model for atmospheric correction
• Data sources: FY-3D/MODIS quasi-synchronous observations

Main Results

• Root mean square error reduction of over 25.9%
• Correlation coefficient increase of approximately 5%
• Mean absolute error decrease of about 40%
• Spatial biases within ±0.1 over most global land areas

Contributions

• Provided a transferable framework for integrating Chinese Fengyun satellite data with international datasets like MODIS/VIIRS
• Established a fused climate data record for global vegetation monitoring

Funding

• National Key Research and Development Program of China (2017YFC1501803)
• National Natural Science Foundation of China (41575015)

Citation

@article{Wang2026Harmonizing,
  author = {Wang, Yanjiao and Xiao, Fengjin and Wu, Linrong and Wang, Feng},
  title = {Harmonizing Fengyun-3D MERSI-II with MODIS NDVI for a Global Climate Data Record},
  journal = {Remote Sensing},
  year = {2026},
  doi = {10.3390/rs18183075},
  url = {https://doi.org/10.3390/rs18183075}
}