We developed an AOD gap-filling model with the consideration of snow and cloud covers and a PM2.5 prediction model based on the gap-filled AOD to estimate full-coverage and high-resolution PM2.5 in New York State. It indicated the significance of snow fraction in the AOD gap-filling process and demonstrated the ability of the AOD-based prediction model to reflect detailed PM2.5 emission patterns and small-scale terrain-driven features.
Bi, J., Belle, J. H., Wang, Y., Lyapustin, A. I., Wildani, A., & Liu, Y. (2019). Impacts of snow and cloud covers on satellite-derived PM2.5 levels. Remote Sensing of Environment, 221, 665–674. https://doi.org/10.1016/j.rse.2018.12.002
 |
 |