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Your search keyword '"Ananasso, C."' showing total 8 results
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8 results on '"Ananasso, C."'

1. 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

4. 2012 hyperspectral airborne campaign on Etna: Multi data acquisition for ASI-PRISMA project.

Author

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

Abstract

In the frame of the Italian Space Agency (ASI) Hyperspectral Space Mission PRISMA, the Istituto Nazionale di Geofisica e Vulcanologia coordinates the scientific project ASI-AGI aimed to develop specific algorithms and products for geophysical applications. Data validation and calibration activities have been focused on active volcanic areas and three test sites have been selected in Sicily, Italy. In the period 23–27 June 2012 the project team has organized an hyperspectral airborne and field measurements campaign over Mt. Etna, Paternò area and Ciclopi Islands investigating various surface targets using different instruments. The airborne and ground campaign have been planned during satellites passes of Hyperion and ASTER. The whole data set acquired during this campaign allowed the airborne data calibration and provide a suitable data set to simulate PRISMA data and to test the developed algorithms in the framework of the project. [ABSTRACT FROM PUBLISHER]

Published
2013
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5. 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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6. Remote sensing of cloud cover in the Arctic region from AVHRR data during the ARTIST experiment.

Author

Ananasso, C., Santoleri, R., Marullo, S., and D'Ortenzio, F.

Subjects
*CLOUDS, *REMOTE sensing, *ADVANCED very high resolution radiometers
Abstract

Presents a cloud detection algorithm developed for the Arctic region using Advanced Very High Resolution Radiometer data. Use of a simplified version of the Ebert method to discriminate between clouds, ice and open water in the Arctic Sea; Pixel classification performance of the algorithm; Comparison with independent sources of data.

Published
2003
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8. MODIS and OMI satellite observations supporting air quality monitoring.

Author

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

Subjects
Complex Mixtures analysis, Computer Simulation, Environmental Monitoring instrumentation, Italy, Photometry instrumentation, Photometry methods, Spectrum Analysis instrumentation, Aerosols analysis, Air Pollution analysis, Atmosphere analysis, Environmental Monitoring methods, Models, Chemical, Spacecraft, Spectrum Analysis methods
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 PM(2.5) and NO(2), are presented. Estimates of PM(2.5) 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 PM(2.5) 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 PM(2.5) concentrations over northern Italy are derived. Monthly average values were compared with in situ PM(2.5) samplings showing good agreement. Ozone monitoring instrument (OMI) (Aura/NASA) NO(2) 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 NO(2) show good agreement with the environmental agencies' in situ.

Published
2009
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