HEAD: a robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters

Simone Lolli; Gemine Vivone; Alberto Arienzo; Andrea Garzelli; Luciano Alparone; Muhammad Bilal

doi:10.1117/12.2574277

30 September 2020 HEAD: a robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters

Simone Lolli, Gemine Vivone, Alberto Arienzo, Andrea Garzelli, Luciano Alparone, Muhammad Bilal

Author Affiliations +

Proceedings Volume 11531, Remote Sensing of Clouds and the Atmosphere XXV; 115310W (2020) https://doi.org/10.1117/12.2574277
Event: SPIE Remote Sensing, 2020, Online Only

Conference Poster

Abstract

Natural and anthropogenic aerosol atmospheric emissions play a fundamental role in directly modulating the incoming solar radiation and affecting the air quality. Likewise, aerosols indirectly impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is crucial to assess aerosol spatial and temporal variability to reduce the associated uncertainty of global climate models in correctly forecasting future scenarios and it will enable application of mitigation strategies. In this manuscript, for the first time, we developed a simple aerosol optical depth (AOD) retrieval algorithm in the blue wavelength range that does not use either look-up-tables or radiative transfer models.

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Citation Download Citation

Simone Lolli, Gemine Vivone, Alberto Arienzo, Andrea Garzelli, Luciano Alparone, and Muhammad Bilal "HEAD: a robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters", Proc. SPIE 11531, Remote Sensing of Clouds and the Atmosphere XXV, 115310W (30 September 2020); https://doi.org/10.1117/12.2574277

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