4 papers
Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data
Zahid Hassan Tushar, Sanjay Purushotham
Aerosol Optical Depth (AOD) retrieval is essential for Earth observation, supporting applications from air quality monitoring to climate studies. Conventional physics-based AOD ret…
HyperFM: An Efficient Hyperspectral Foundation Model with Spectral Grouping
Zahid Hassan Tushar, Sanjay Purushotham
The NASA PACE mission provides unprecedented hyperspectral observations of ocean color, aerosols, and clouds, offering new insights into how these components interact and influence…
Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models
Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang +2
Cloud Optical Thickness (COT) is a critical cloud property influencing Earth's climate, weather, and radiation budget. Satellite radiance measurements enable global COT retrieval,…
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models
Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang +2
Accurate cloud property retrieval is vital for understanding cloud behavior and its impact on climate, including applications in weather forecasting, climate modeling, and estimati…