Oct 2026
A Multi-Stage Deep Learning Framework for Daily PM2.5 Estimation at 100 m Resolution Across the Contiguous United States, 2000–2024 (A Quarter Century of Data)
Accurate high-resolution estimation of fine particulate matter (PM2.5) remains challenging because of sparse monitoring networks and missing satellite observations. We developed a multistage deep learning framework to generate daily PM2.5 concentrations at 100 m resolution across the contiguous United States (CONUS)...
A. Sheidaei, K. Gohari, Ryan Michael et al.
· Environmental Science &... · 0 citations