Exploring Global Aerosol Size Dynamics from 2001 to 2024 Using the Pretrained Remote sensing pIxel-based Spatial-teMporal Deep Neural Network
- DOI
- 10.1021/acs.est.5c13469
- Published
- 2026-02-21
- Container
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.5c13469,
title = {Exploring Global Aerosol Size Dynamics from 2001 to 2024 Using the Pretrained Remote sensing pIxel-based Spatial-teMporal Deep Neural Network},
author = {Xing Yan and Jiayi Chen and Hans W. Chen and Yue Zhang and Yize Jiang and Qiao Wang and Guoqiang Wang and Kun Jia and Ziyue Chen and Weihua Dong and Jinlong Fan and Chuanfeng Zhao},
year = {2026},
journal = {Environmental Science \& Technology},
doi = {10.1021/acs.est.5c13469},
url = {https://doi.org/10.1021/acs.est.5c13469}
}RIS
TY - JOUR TI - Exploring Global Aerosol Size Dynamics from 2001 to 2024 Using the Pretrained Remote sensing pIxel-based Spatial-teMporal Deep Neural Network AU - Xing Yan AU - Jiayi Chen AU - Hans W. Chen AU - Yue Zhang AU - Yize Jiang AU - Qiao Wang AU - Guoqiang Wang AU - Kun Jia AU - Ziyue Chen AU - Weihua Dong AU - Jinlong Fan AU - Chuanfeng Zhao PY - 2026 JO - Environmental Science & Technology DO - 10.1021/acs.est.5c13469 UR - https://doi.org/10.1021/acs.est.5c13469 ER -
APA
Yan, X., Chen, J., Chen, H. W., Zhang, Y., Jiang, Y., Wang, Q., Wang, G., Jia, K., Chen, Z., Dong, W., Fan, J., & Zhao, C. (2026). Exploring Global Aerosol Size Dynamics from 2001 to 2024 Using the Pretrained Remote sensing pIxel-based Spatial-teMporal Deep Neural Network. Environmental Science & Technology. https://doi.org/10.1021/acs.est.5c13469
Source records
- crossref · retrieved 2026-09-26T21:45:30.450Z