Spatial-and-local-aware deep learning approach for Ground-Level NO2 estimation in England with multisource data from satellite-based observations and chemical transport models
High-resolution near-surface NO2 data are crucial for monitoring air pollution dynamics. Satellite-based machine learning models are commonly used to estimate NO2 concentrations, but tailoring advanced deep learning techniques to specific environmental problems remains challenging. This study applie...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225001530 |
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