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18 results on '"Ananasso, C."'

2. Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project

Author

Pignatti, S., Acito, N., Umberto Amato, Casa, R., Bonis, R., Diani, M., Laneve, G., Matteoli, S., Palombo, A., Pascucci, S., Romano, F., Santini, F., Simoniello, T., Ananasso, C., Zoffoli, S., Corsini, G., Cuomo, V., and Ieee

Subjects
Engineering, satellite, hyperspectral, algorithms, PRISMA, business.industry, HyperSpectral, Data sets, Project objectives, business, Algorithm
Abstract

The SAP4PRISMA is a four year research project which aims at developing algorithms and products for the future PRISMA mission. The project started on May 2010 and is now entering his full activities as the ”PRISMA like” data set has been defined and the test areas were selected. The paper describes the main project objectives and the activities realized in the first 9 months of the project.

Published
2012

3. Environmental products overview of the Italian hyperspectral prisma mission: The SAP4PRISMA project

Author

Pignatti, S., primary, Acito, N., additional, Amato, U., additional, Casa, R., additional, Castaldi, F., additional, Coluzzi, R., additional, De Bonis, R., additional, Diani, M., additional, Imbrenda, V., additional, Laneve, G., additional, Matteoli, S., additional, Palombo, A., additional, Pascucci, S., additional, Santini, F., additional, Simoniello, T., additional, Ananasso, C., additional, Corsini, G., additional, and Cuomo, V., additional

Published
2015
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6. Modis and OMI satellite observations supporting air quality monitoring

Author

Di Nicolantonio, W, Cacciari, A, Petritoli, A, Carnevale, C, Pisoni, E, Volta, M, Stocchi, P, Curci, G, Bolzacchini, E, Ferrero, L, Ananasso, C, Tomasi, C, Volta, ML, Tomasi, C., BOLZACCHINI, EZIO, FERRERO, LUCA, Di Nicolantonio, W, Cacciari, A, Petritoli, A, Carnevale, C, Pisoni, E, Volta, M, Stocchi, P, Curci, G, Bolzacchini, E, Ferrero, L, Ananasso, C, Tomasi, C, Volta, ML, Tomasi, C., BOLZACCHINI, EZIO, and FERRERO, LUCA

Abstract

Within the framework of air quality monitoring, measurements by Earth-observing satellite sensors are combined here with regional meteorological and chemical transport models. Two satellite-derived products developed within the QUITSAT project, regarding significant pollutants including PM2.5 and NO2, are presented. Estimates of PM2.5 concentrations at ground level were obtained using moderate resolution imaging spectroradiometer (Terra-Aqua/NASA) aerosol optical properties. The semi-empirical approach adopted takes into account PM2.5 sampling and meteorological descriptions of the area studied, as simulated by MM5, to infer aerosol optical properties to PM projection coefficients. Daily maps of satellite-based PM2.5 concentrations over northern Italy are derived. Monthly average values were compared with in situ PM2.5 samplings showing good agreement. Ozone monitoring instrument (OMI) (Aura/NASA) NO2 tropospheric contents are merged using the GAMES chemical model simulations. The method employs a weighted rescaling of the model column in the troposphere according to the OMI observations. The weightings take into account measurement errors and model column variances within the satellite ground pixel. The obtained ground-level concentrations of NO2 show good agreement with the environmental agencies' in situ. © The Author 2009. Published by Oxford University Press.

Published
2009

7. 2012 hyperspectral airborne campaign on Etna: Multi data acquisition for ASI-PRISMA project

Author

Colini, L., primary, Spinetti, C., additional, Doumaz, F., additional, Amici, S., additional, Ananasso, C., additional, Buongiorno, M. F., additional, Cafaro, P., additional, Caltabiano, T., additional, Curci, G., additional, D'Andrea, S., additional, Favalli, M., additional, Giammanco, S., additional, Isola, I., additional, La Spina, A., additional, Lombardo, V., additional, Mancini, M., additional, Mazzarini, F., additional, Musacchio, M., additional, Neri, M., additional, Puglisi, G., additional, Salerno, G., additional, Sarli, V., additional, Silvestri, M., additional, and Teggi, S., additional

Published
2013
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8. Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project

Author

Pignatti, S., primary, Acito, N., additional, Amato, U., additional, Casa, R., additional, de Bonis, R., additional, Diani, M., additional, Laneve, G., additional, Matteoli, S., additional, Palombo, A., additional, Pascucci, S., additional, Romano, F., additional, Santini, F., additional, Simoniello, T., additional, Ananasso, C., additional, Zoffoli, S., additional, Corsini, G., additional, and Cuomo, V., additional

Published
2012
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9. MODIS and OMI satellite observations supporting air quality monitoring

Author

Di Nicolantonio, W., primary, Cacciari, A., additional, Petritoli, A., additional, Carnevale, C., additional, Pisoni, E., additional, Volta, M. L., additional, Stocchi, P., additional, Curci, G., additional, Bolzacchini, E., additional, Ferrero, L., additional, Ananasso, C., additional, and Tomasi, C., additional

Published
2009
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12. MODIS and OMI satellite observations supporting air quality monitoring.

Author

Nicolantonio, W. Di, Cacciari, A., Petritoli, A., Carnevale, C., Pisoni, E., Volta, M. L., Stocchi, P., Curci, G., Bolzacchini, E., Ferrero, L., Ananasso, C., and Tomasi, C.

Subjects
EMISSION standards, ARTIFICIAL satellites, METEOROLOGY, AIR quality, ENVIRONMENTAL monitoring, ENVIRONMENTAL toxicology
Abstract

Within the framework of air quality monitoring, measurements by Earth-observing satellite sensors are combined here with regional meteorological and chemical transport models. Two satellite-derived products developed within the QUITSAT project, regarding significant pollutants including PM2.5 and NO2, are presented. Estimates of PM2.5 concentrations at ground level were obtained using moderate resolution imaging spectroradiometer (Terra-Aqua/NASA) aerosol optical properties. The semi-empirical approach adopted takes into account PM2.5 sampling and meteorological descriptions of the area studied, as simulated by MM5, to infer aerosol optical properties to PM projection coefficients. Daily maps of satellite-based PM2.5 concentrations over northern Italy are derived. Monthly average values were compared with in situ PM2.5 samplings showing good agreement. Ozone monitoring instrument (OMI) (Aura/NASA) NO2 tropospheric contents are merged using the GAMES chemical model simulations. The method employs a weighted rescaling of the model column in the troposphere according to the OMI observations. The weightings take into account measurement errors and model column variances within the satellite ground pixel. The obtained ground-level concentrations of NO2 show good agreement with the environmental agencies' in situ. [ABSTRACT FROM PUBLISHER]

Published
2009
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18. MODIS and OMI satellite observations supporting air quality monitoring

Author

Claudio Tomasi, C. Ananasso, Claudio Carnevale, Andrea Petritoli, Enrico Pisoni, P. Stocchi, Alessandra Cacciari, Luca Ferrero, W. Di Nicolantonio, Marialuisa Volta, Gabriele Curci, Ezio Bolzacchini, Di Nicolantonio, W, Cacciari, A, Petritoli, A, Carnevale, C, Pisoni, E, Volta, M, Stocchi, P, Curci, G, Bolzacchini, E, Ferrero, L, Ananasso, C, and Tomasi, C

Subjects
Airborne particles, particle size, Simulation and Modeling, 010504 meteorology & atmospheric sciences, Meteorology, Context (language use), Complex Mixtures, 010501 environmental sciences, 01 natural sciences, Chemical transport model, Photometry, Troposphere, Earth observation, Air quality, Air Pollution, Nuclear Medicine and Imaging, Computer Simulation, Radiology, Nuclear Medicine and imaging, Spacecraft, Air quality index, Radiological and Ultrasound Technology, Radiation, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, 0105 earth and related environmental sciences, Remote sensing, Aerosols, Ozone Monitoring Instrument, Air pollutant concentrations, Atmosphere, Spectrum Analysis, Environmental and Occupational Health, General Medicine, Aerosol, Italy, Models, Chemical, CHIM/12 - CHIMICA DELL'AMBIENTE E DEI BENI CULTURALI, 13. Climate action, Environmental science, Satellite, Public Health, Moderate-resolution imaging spectroradiometer, Radiology, Environmental Monitoring
Abstract

Within the framework of air quality monitoring, measurements by Earth-observing satellite sensors are combined here with regional meteorological and chemical transport models. Two satellite-derived products developed within the QUITSAT project, regarding significant pollutants including PM2.5 and NO2, are presented. Estimates of PM2.5 concentrations at ground level were obtained using moderate resolution imaging spectroradiometer (Terra-Aqua/NASA) aerosol optical properties. The semi-empirical approach adopted takes into account PM2.5 sampling and meteorological descriptions of the area studied, as simulated by MM5, to infer aerosol optical properties to PM projection coefficients. Daily maps of satellite-based PM2.5 concentrations over northern Italy are derived. Monthly average values were compared with in situ PM2.5 samplings showing good agreement. Ozone monitoring instrument (OMI) (Aura/NASA) NO2 tropospheric contents are merged using the GAMES chemical model simulations. The method employs a weighted rescaling of the model column in the troposphere according to the OMI observations. The weightings take into account measurement errors and model column variances within the satellite ground pixel. The obtained ground-level concentrations of NO2 show good agreement with the environmental agencies’ in situ. The capabilities of Earth observation satellites have greatly improved over the last few years, with gradual improvements in temporal and spatial resolutions and enhancements in radiometric accuracy, thus encouraging further studies on the use of satellite data to assess air quality (AQ). Within this context, the synoptic view and the daily repetition cycle of satellite-based measurements strengthen the potential for monitoring air pollution transport and directly evaluating the spatial distribution of various air pollutant concentrations. These evaluations are in compliance with the regulations of

Published
2009
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