With its combination of high spatial resolution and multiple view angles, the Multi-angle Imaging SpectroRadiometer (MISR) offers abilities beyond those of single-view instruments, e.g., to separate aerosol from surface signals over spatially inhomogeneous regions such as urban centers and coastal waterways. Operating at pixel-level, the MISR research aerosol retrieval algorithm (RA) uses this high-information-content dataset to retrieve aerosol and surface properties, self-consistently, at resolutions up to 275 m. This algorithm, originally developed to perform MISR pre-launch sensitivity studies, to help validate the MISR standard aerosol products, and to test new retrieval ideas, has advanced greatly in the past seven years. Improvements have been made in surface representation, especially over ocean, aerosol type selection criteria, glint handling, uncertainty estimation, and general throughput. Using empirical image analysis, we have also made a substantial effort to improve the MISR radiometric calibration, allowing for the data to be used in applications requiring greater precision, such as constraining aerosol type and deriving ocean color.
This talk will highlight some details about the RA, including some of our recent work regarding the retrieval of aerosols over shallow, turbid, and eutrophic waters from MISR. I will also present some preliminary over-land results, where MAIAC data were used to constrain the surface albedo for MISR aerosol retrievals under high aerosol loading conditions. This work has the potential to greatly improve the accuracy of retrieved aerosol properties, with clear applicability to the air quality and climate modeling communities.
Seminar Series Coordinators