Dr. Luca Pulvirenti Profile

Dr. Luca Pulvirenti

at CIMA Research Foundation

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 9 October 2018 Presentation + Paper

Incorporating Sentinel-derived products into numerical weather models: the ESA STEAM project

Luca Pulvirenti, Antonio Parodi, Martina Lagasio, Nazzareno Pierdicca, Giovanna Venuti, Eugenio Realini, Andrea Gatti, Stefano Barindelli, Emanuele Passera, Bjorn Rommen

Proceedings Volume 10788, 107880F (2018) https://doi.org/10.1117/12.2325710

KEYWORDS: Atmospheric modeling, Meteorology, Satellite navigation systems, Satellites, Soil science, Earth's atmosphere, Synthetic aperture radar

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Proceedings Article | 18 October 2016 Presentation + Paper

SMOS, ASCAT, SMAP and ERA soil moisture comparison through the triple and quadruple collocation technique

F. Fascetti, N. Pierdicca, L. Pulvirenti, R. Crapolicchio

Proceedings Volume 10003, 100030H (2016) https://doi.org/10.1117/12.2244615

KEYWORDS: Remote sensing, Soil science, Satellites, Radiometry, Error analysis, Data modeling, Systems modeling, Spatial resolution, L band, Atmospheric modeling

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Proceedings Article | 18 October 2016 Paper

Detection and quantification of precipitations signatures on synthetic aperture radar imagery at X band

Saverio Mori, Mario Montopoli, Luca Pulvirenti, Frank Marzano, Nazzareno Pierdicca

Proceedings Volume 10003, 1000306 (2016) https://doi.org/10.1117/12.2241943

KEYWORDS: Synthetic aperture radar, Clouds, X band, Floods, Radar, Data modeling, Error analysis, Spatial resolution, Signal attenuation, Volume rendering

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Proceedings Article | 15 October 2015 Paper

Multitemporal retrieval of soil moisture from SMAP radar data at L-band

Fabio Fascetti, Nazzareno Pierdicca, Luca Pulvirenti

Proceedings Volume 9642, 964202 (2015) https://doi.org/10.1117/12.2194964

KEYWORDS: Soil science, Vegetation, Data modeling, Radar, L band, Backscatter, Scattering, Synthetic aperture radar, Polarization, Satellites

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Proceedings Article | 21 October 2014 Paper

Combined use of COSMO-SkyMed derived products and hydrodynamic models to produce physically-based maps of flood extent

L. Pulvirenti, N. Pierdicca, G. Boni, M. Fiorni, R. Rudari, L. Ferraris

Proceedings Volume 9243, 92431C (2014) https://doi.org/10.1117/12.2068307

KEYWORDS: Floods, Synthetic aperture radar, Data modeling, Fuzzy logic, Satellites, Remote sensing, Vegetation, Associative arrays, Calibration, Earth observing sensors

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Proceedings Article | 21 October 2014 Paper

Multitemporal soil moisture retrieval from radar data: preparation of SMAP data processing over Italy

Fabio Fascetti, Nazzareno Pierdicca, Luca Pulvirenti

Proceedings Volume 9243, 92430E (2014) https://doi.org/10.1117/12.2067904

KEYWORDS: Soil science, Radar, Vegetation, Synthetic aperture radar, Satellites, Algorithm development, Backscatter, Radiometry, L band, Scattering

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Proceedings Article | 21 October 2014 Paper

Modeling atmospheric precipitation impact on synthetic aperture radar surface imagery at X and Ka bands

Saverio Mori, Federica Polverari, Luca Pulvirenti, Mario Montopoli, Nazzareno Pierdicca, Frank Marzano

Proceedings Volume 9243, 924304 (2014) https://doi.org/10.1117/12.2067376

KEYWORDS: Synthetic aperture radar, Atmospheric modeling, Device simulation, Polarimetry, 3D modeling, Ka band, Clouds, X band, Scattering, Systems modeling

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Spaceborne synthetic aperture radars (SARs) operating at X-band and above allow observations of Earth surface at very high spatial resolution. Moreover, recent polarimetric SARs enable the complete characterization of target scattering and extinction properties. Nowadays several spaceborne X-band SAR systems are operative, and plans exist for systems operating at higher frequency bands (i.e. Ku, Ka and W). Although higher frequencies may have interesting and distinctive applications, atmospheric effects, especially in precipitating conditions, may affect the surface SAR response in both the signal amplitude and its phase, as assessed by numerous works in the last years. A valid tool to analyze and characterize the SAR response in these conditions is represented by forward modeling, where a known synthetic scenario, which is described by user-selected surface and atmospheric conditions, is considered. Thus, the SAR echoes corresponding to the synthetic scenarios are simulated using electromagnetic models. In this work a 3-D realistic polarimetric SAR response numerical simulator is presented. The proposed model framework accounts for the SAR slant observing geometry and it is able to characterize the polarimetric response both in amplitude and phase. In this work we have considered both X and Ka bands, thus exploring the atmospheric effects for the present and future polarimetric systems. The atmospheric conditions are simulated using the System for Atmospheric Modeling (SAM) which is an high-resolution mesoscale model. SAM is used to define the three-dimensional distribution of hydrometeors which are among the inputs used in the Hydrometeor Ensemble Scattering Simulator (HESS) T-Matrix which allow simulating the SAR signal due to the atmospheric component. The SAR surface component is, instead, simulated by a Semi Empirical Model (SEM) for bare-soils conditions and SEAWIND2 two-scale model for ocean surfaces. The proposed methodology has been applied in this work to assess the sensitivity of the considered frequency bands to different hydrometeor spatial distributions above some examples surface backgrounds.

Proceedings Article | 17 October 2013 Paper

Dealing with flood mapping using SAR data in the presence of wind or heavy precipitation

Nazzareno Pierdicca, Luca Pulvirenti, Marco Chini

Proceedings Volume 8891, 88910K (2013) https://doi.org/10.1117/12.2030105

KEYWORDS: Synthetic aperture radar, Floods, Backscatter, Radar, Image segmentation, Data modeling, Fuzzy logic, Associative arrays, X band, Clouds

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Proceedings Article | 21 November 2012 Paper

Future use of the data from the ESA Sentinel-1 mission for operational soil moisture mapping: a multitemporal algorithm

Nazzareno Pierdicca, Luca Pulvirenti

Proceedings Volume 8536, 85360K (2012) https://doi.org/10.1117/12.977626

KEYWORDS: Soil science, Synthetic aperture radar, Vegetation, Radar, Backscatter, Polarization, Data modeling, Algorithm development, Prototyping, Speckle

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Proceedings Article | 21 November 2012 Paper

Lessons learned from using COSMO-SkyMed imagery for flood mapping: some case studies

Nazzareno Pierdicca, Marco Chini, Luca Pulvirenti, Frank Marzano, Saverio Mori

Proceedings Volume 8536, 85360W (2012) https://doi.org/10.1117/12.977646

KEYWORDS: Floods, Radar, Synthetic aperture radar, Backscatter, Fuzzy logic, Polarization, X band, Vegetation, Image processing, Satellites

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Proceedings Article | 27 October 2011 Paper

Soil moisture mapping using Sentinel 1 images: the proposed approach and its preliminary validation carried out in view of an operational product

S. Paloscia, S. Pettinato, E. Santi, N. Pierdicca, L. Pulvirenti, C. Notarnicola, G. Pace, A. Reppucci

Proceedings Volume 8179, 817904 (2011) https://doi.org/10.1117/12.899523

KEYWORDS: Polarization, Soil science, Vegetation, Synthetic aperture radar, Algorithm development, Radar, Data modeling, Backscatter, Meteorology, Artificial neural networks

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Proceedings Article | 27 October 2011 Paper

Monitoring flood evolution in agricultural areas using COSMO-SkyMed data: analysis of the Tuscany inundation of December 2009

Luca Pulvirenti, Nazzareno Pierdicca, Marco Chini, Leila Guerriero

Proceedings Volume 8179, 81790I (2011) https://doi.org/10.1117/12.898209

KEYWORDS: Floods, Synthetic aperture radar, Radar, Image segmentation, Vegetation, Backscatter, MODIS, Agriculture, Data modeling, Earth observing sensors

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Proceedings Article | 29 September 2009 Paper

Combining bistatic and monostatic radar measurements for retrieving soil moisture

Nazzareno Pierdicca, Ludovico De Titta, Luca Pulvirenti, Francesca Ticconi, Marco Brogioni

Proceedings Volume 7477, 74771R (2009) https://doi.org/10.1117/12.830439

KEYWORDS: Soil science, Scattering, Radar, Satellites, Receivers, Polarization, Synthetic aperture radar, Backscatter, Error analysis, Antennas

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Proceedings Article | 29 September 2009 Paper

A model-based approach for mapping floods using Cosmo-SkyMed data

Luca Pulvirenti, Marco Chini, Laura Candela, Leila Guerriero, Nazzareno Pierdicca

Proceedings Volume 7477, 74771O (2009) https://doi.org/10.1117/12.830427

KEYWORDS: Floods, Radar, Synthetic aperture radar, Backscatter, Data modeling, Model-based design, Associative arrays, Satellites, Satellite imaging, Image resolution

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Showing 5 of 14 publications

Conference Committee Involvement (10)

Microwave Remote Sensing: Data Processing and Applications III

16 September 2024 | Edinburgh, United Kingdom

Microwave Remote Sensing: Data Processing and Applications II

6 September 2023 | Amsterdam, Netherlands

Microwave Remote Sensing: Data Processing and Applications

13 September 2021 | Online Only, Spain

Active and Passive Microwave Remote Sensing for Environmental Monitoring III

11 September 2019 | Strasbourg, France

Active and Passive Microwave Remote Sensing for Environmental Monitoring

12 September 2018 | Berlin, Germany

Showing 5 of 10 Conference Committees

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