Wang et al. (2026) Fusing Multisensor Data to Generate a Highly Integrated Global Solar-Induced Chlorophyll Fluorescence (FSIF) Time Series

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yuchen Wang, Xiaobin Guan, Linlin Liu, Yao Zhang, Xing Li, Huanfeng Shen
• DOI: 10.1109/tgrs.2026.3664846

Research Groups

[Information not available in provided text]

Short Summary

This paper focuses on fusing multisensor data to generate a highly integrated global solar-induced chlorophyll fluorescence (FSIF) time series.

Objective

• To develop a methodology for fusing multisensor data to create a highly integrated global solar-induced chlorophyll fluorescence (FSIF) time series.

Study Configuration

• Spatial Scale: Global
• Temporal Scale: Time series (implying continuous or regular observations over an extended period)

Methodology and Data

• Models used: [Information not available in provided text]
• Data sources: Multisensor data (specific sensors not detailed in provided text)

Main Results

[Information not available in provided text]

Contributions

[Information not available in provided text]

Funding

[Information not available in provided text]

Citation

@article{Wang2026Fusing,
  author = {Wang, Yuchen and Guan, Xiaobin and Liu, Linlin and Zhang, Yao and Li, Xing and Shen, Huanfeng},
  title = {Fusing Multisensor Data to Generate a Highly Integrated Global Solar-Induced Chlorophyll Fluorescence (FSIF) Time Series},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3664846},
  url = {https://doi.org/10.1109/tgrs.2026.3664846}
}