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Mapping atmospheric aerosols with a citizen science network of smartphone spectropolarimeters
To assess the impact of atmospheric aerosols on health, climate, and air traffic, aerosol properties must be measured with fine spatial and temporal sampling. This can be achieved by activelyExpand
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  • Open Access
Aerosol measurements by SPEXone on the NASA PACE mission: expected retrieval capabilities
Abstract SPEXone is a Multi-Angle Polarimeter instrument that is baselined to fly on the NASA Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission, to be launched in 2022. It will performExpand
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Global tropospheric ozone column retrievals from OMI data by means of neural networks
Abstract. In this paper, a new neural network (NN) algorithm to retrieve the tropospheric ozone column from Ozone Monitoring Instrument (OMI) Level 1b data is presented. Such an algorithm furtherExpand
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  • Open Access
Space-Based Remote Sensing of Atmospheric Aerosols: The Multi-Angle Spectro-Polarimetric Frontier
The review of optical instrumentation, forward modeling, and inverse problem solution for the polarimetric aerosol remote sensing from space is presented. The special emphasis is given to theExpand
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  • Open Access
Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach
Abstract. This paper describes a neural network algorithm for the estimation of liquid water cloud optical properties from the Polarization and Directionality of Earth's Reflectances-3 (POLDER-3)Expand
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  • Open Access
Atmospheric aerosol characterization with a ground-based SPEX spectropolarimetric instrument
Abstract. Characterization of atmospheric aerosols is important for understanding their impact on health and climate. A wealth of aerosol parameters can be retrieved from multi-angle,Expand
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  • Open Access
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction
Workers healthcare gained a lot of attention recently as many countries are increasingly concerning about welfare. This paper faces the problem of predicting occupational disease risks by means ofExpand
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Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations
In this paper, the use of a neural network algorithm for the retrieval of the aerosol properties from ground-based spectropolarimetric measurements is discussed. The neural network is able toExpand
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  • Open Access
Combined neural network/Phillips-Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter
In this paper, an algorithm for the retrieval of aerosol and land surface properties from airborne spectropolarimetric measurements – combining neural networks and an iterative scheme based onExpand
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Occupational Diseases Risk Prediction by Genetic Optimization: Towards a Non-exclusive Classification Approach
This paper deals with the health risk prediction problem in workplaces through computational intelligence techniques. The available dataset has been collected from the Italian Local Health AuthorityExpand
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