Zhou et al. (2025) Global Assessment of Vegetation Ozone Exposure Using a Remote Sensing-Based Index: A New Potential Reference for Critical Levels and Gross Primary Production Simulations
Identification
- Journal: IEEE Transactions on Geoscience and Remote Sensing
- Year: 2025
- Date: 2025-12-23
- Authors: Peng Zhou, Jieming Chou, Shan Ye, Mengting Sun, Jie Luo, Zhaoxiang Cao, Qian Yao, H. Zhang, Muhammad Bilal, L. C. Dan
- DOI: 10.1109/tgrs.2025.3647448
Research Groups
[Information not provided in the paper text.]
Short Summary
This paper presents a global assessment of vegetation ozone exposure using a remote sensing-based index, proposing it as a new potential reference for critical levels and gross primary production simulations.
Objective
- To conduct a global assessment of vegetation ozone exposure using a remote sensing-based index.
- To evaluate the potential of this index as a new reference for critical levels and gross primary production simulations.
Study Configuration
- Spatial Scale: Global
- Temporal Scale: [Information not provided in the paper text.]
Methodology and Data
- Models used: [Information not provided in the paper text, though "Gross Primary Production Simulations" implies model usage.]
- Data sources: Remote sensing-based index
Main Results
[Information not provided in the paper text.]
Contributions
[Information not provided in the paper text, beyond the implication of a "new potential reference."]
Funding
[Information not provided in the paper text.]
Citation
@article{Zhou2025Global,
author = {Zhou, Peng and Chou, Jieming and Ye, Shan and Sun, Mengting and Luo, Jie and Cao, Zhaoxiang and Yao, Qian and Zhang, H. and Bilal, Muhammad and Dan, L. C.},
title = {Global Assessment of Vegetation Ozone Exposure Using a Remote Sensing-Based Index: A New Potential Reference for Critical Levels and Gross Primary Production Simulations},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {2025},
doi = {10.1109/tgrs.2025.3647448},
url = {https://doi.org/10.1109/tgrs.2025.3647448}
}
Original Source: https://doi.org/10.1109/tgrs.2025.3647448