Hyperspectral Estimation of Aerosol Parameters and Water-Leaving Radiance in Dusty Atmospheres Using Vertical Profiling Information

摘要

The specific objectives of this project were: (1) to understand quantitatively how the accuracy of dust parameter and ocean color estimates from hyperspectral data depend on knowledge of vertical aerosol distributions and dust particle absorption; (2) to develop improved methods for estimating dust aerosol properties and water-leaving-radiance (WLR) from hyperspectral and limited vertical profile data, including data from the newest generations of NASA (SeaWIFS, MODIS, MISR, and spaceborne lidar) and DoD (COTS/NEMO) sensors; and (3) to demonstrate the initial use of such methods in investigation of dust outbreaks over littoral seas.