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Dr. Andrea Buono
PhD, University of Naples “Parthenope”, Engineering Department, Centro Direzionale Isola C4, 80143, Naples, Italy

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0 Ocean
0 Polarimetry
0 SAR
0 Electromagnetic modeling
0 Coastal areas

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SAR
Coastal areas
Polarimetry
Ocean

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Project report
Published: 06 August 2021 in Remote Sensing
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In this project report, the main outcomes relevant to the Sino-European Dragon-4 cooperation project ID 32235 “Microwave satellite measurements for coastal area and extreme weather monitoring” are reported. The project aimed at strengthening the Sino-European research cooperation in the exploitation of European Space Agency, Chinese and third-party mission Earth Observation (EO) microwave satellite data. The latter were exploited to perform an effective monitoring of coastal areas, even under extreme weather conditions. An integrated multifrequency/polarization approach based on complementary microwave sensors (e.g., Synthetic Aperture Radar, scatterometer, radiometer), together with ancillary information coming from independent sources, i.e., optical imagery, numerical simulations and ground measurements, was designed. In this framework, several tasks were addressed including marine target detection, sea pollution, sea surface wind estimation and coastline extraction/classification. The main outcomes are both theoretical (i.e., new models and algorithms were developed) and applicative (i.e., user-friendly maps were provided to the end-user community of coastal area management according to smart processing of remotely sensed data). The scientific relevance consists in the development of new algorithms, the effectiveness and robustness of which were verified on actual microwave measurements, and the improvement of existing methodologies to deal with challenging test cases.

ACS Style

Ferdinando Nunziata; Xiaofeng Li; Armando Marino; Weizeng Shao; Marcos Portabella; Xiaofeng Yang; Andrea Buono. Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring. Remote Sensing 2021, 13, 3126 .

AMA Style

Ferdinando Nunziata, Xiaofeng Li, Armando Marino, Weizeng Shao, Marcos Portabella, Xiaofeng Yang, Andrea Buono. Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring. Remote Sensing. 2021; 13 (16):3126.

Chicago/Turabian Style

Ferdinando Nunziata; Xiaofeng Li; Armando Marino; Weizeng Shao; Marcos Portabella; Xiaofeng Yang; Andrea Buono. 2021. "Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring." Remote Sensing 13, no. 16: 3126.

Journal article
Published: 02 August 2021 in World
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The COVID-19 pandemic has affected human life worldwide and forced the implementation of lockdown periods in order to reduce the physical interactions of people. Italy has been heavily affected by a large number of deaths. The government had to impose a long lockdown period during the spring of 2020. In this paper, we provide a critical analysis of the 2020 Italian spring lockdown (ISL) through observation of the spatiotemporal NOx pattern differences in connection with the social changes imposed by such restrictions. Different freely available sources of information are used: European Space Agency (ESA) TROPOspheric Monitoring Instrument (TROPOMI) measurements, ground-based measurements, and model estimates. The results show high NOx pollution levels, even during the lockdown, that suggest new approaches to sustainable mobility policies.

ACS Style

Maurizio Migliaccio; Andrea Buono; Ila Maltese; Margherita Migliaccio. The 2020 Italian Spring Lockdown: A Multidisciplinary Analysis over the Milan Urban Area. World 2021, 2, 391 -414.

AMA Style

Maurizio Migliaccio, Andrea Buono, Ila Maltese, Margherita Migliaccio. The 2020 Italian Spring Lockdown: A Multidisciplinary Analysis over the Milan Urban Area. World. 2021; 2 (3):391-414.

Chicago/Turabian Style

Maurizio Migliaccio; Andrea Buono; Ila Maltese; Margherita Migliaccio. 2021. "The 2020 Italian Spring Lockdown: A Multidisciplinary Analysis over the Milan Urban Area." World 2, no. 3: 391-414.

Journal article
Published: 29 April 2021 in IEEE Transactions on Geoscience and Remote Sensing
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Oils floating on the sea surface can be observed as ``dark'' patches on radar images since the backscattered signals from the contaminated area are reduced in two dominant ways. First, oil slicks could damp short gravity and capillary waves on the sea surface responsible for backscattering energy. Second, the oil-covered sea surface permittivity decreases significantly if the oil film is sufficiently thick or mixed with seawater, i.e., oil emulsion. In this article, the geometry of the oil-covered sea surface is accounted for by the damping of sea waves, which is described by the model of local balance (MLB) combined with the sea wave spectrum. The radar backscattering is predicted by the advanced integral equation method (AIEM) model. The reflection coefficients are calculated based on a layered-medium model to analyze the impact of oil thickness and emulsions on the radar scattering. Numerical simulations demonstrate that: 1) the sensitivity to oil thickness and water content of the oil spills increases when the radar frequency increases; 2) the backscattering signals exhibit a nonlinear behavior with respect to oil thickness; and 3) high wind speed can generally narrow the difference between the radar backscattering from the clean and oil-covered sea surface, while the incidence angle has little effect. Numerical simulations are then compared with the multifrequency synthetic aperture radar observations acquired during the Gulf of Mexico Deepwater Horizon (DWH) oil spill accident and the 2011 Norwegian Clean Seas Association for Operating Companies (NOFO) oil-on-water exercise. Comparison results show that it is possible to estimate the oil thickness at reasonably good accuracy.

ACS Style

Tingyu Meng; Xiaofeng Yang; Kun-Shan Chen; Ferdinando Nunziata; Dengfeng Xie; Andrea Buono. Radar Backscattering Over Sea Surface Oil Emulsions: Simulation and Observation. IEEE Transactions on Geoscience and Remote Sensing 2021, PP, 1 -14.

AMA Style

Tingyu Meng, Xiaofeng Yang, Kun-Shan Chen, Ferdinando Nunziata, Dengfeng Xie, Andrea Buono. Radar Backscattering Over Sea Surface Oil Emulsions: Simulation and Observation. IEEE Transactions on Geoscience and Remote Sensing. 2021; PP (99):1-14.

Chicago/Turabian Style

Tingyu Meng; Xiaofeng Yang; Kun-Shan Chen; Ferdinando Nunziata; Dengfeng Xie; Andrea Buono. 2021. "Radar Backscattering Over Sea Surface Oil Emulsions: Simulation and Observation." IEEE Transactions on Geoscience and Remote Sensing PP, no. 99: 1-14.

Editorial
Published: 15 April 2021 in Remote Sensing
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Oceans represent an extraordinary source of resources that needs to be preserved while being exploited

ACS Style

Andrea Buono; Yu Li; Rafael Paes. Editorial for the Special Issue “Remote Sensing of the Oceans: Blue Economy and Marine Pollution”. Remote Sensing 2021, 13, 1522 .

AMA Style

Andrea Buono, Yu Li, Rafael Paes. Editorial for the Special Issue “Remote Sensing of the Oceans: Blue Economy and Marine Pollution”. Remote Sensing. 2021; 13 (8):1522.

Chicago/Turabian Style

Andrea Buono; Yu Li; Rafael Paes. 2021. "Editorial for the Special Issue “Remote Sensing of the Oceans: Blue Economy and Marine Pollution”." Remote Sensing 13, no. 8: 1522.

Journal article
Published: 19 March 2021 in Remote Sensing
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Satellite synthetic aperture radar (SAR) is a unique tool to collect measurements over sea surface but the physical interpretation of such data is not always straightforward. Among the different sea targets of interest, low-backscattering areas are often associated to marine oil pollution even if several physical phenomena may also result in low-backscattering patches at sea. In this study, the effects of low-backscattering areas of anthropogenic and natural origin on the azimuth autocorrelation function (AACF) are analyzed using VV-polarized SAR measurements. Two objective metrics are introduced to quantify the deviation of the AACF evaluated over low-backscattering areas with reference to slick-free sea surface. Experiments, undertaken on six Sentinel-1 SAR scenes, collected in Interferometric Wide Swath VV+VH imaging mode over large low-backscattering areas of different origin under low-to-moderate wind conditions (speed ≤ 7 m/s), spanning a wide range of incidence angles (from about 30° up to 46°), demonstrated that the AACF evaluated within low-backscattering sea areas remarkably deviates from the slick-free sea surface one and the largest deviation is observed over oil slicks.

ACS Style

Valeria Corcione; Andrea Buono; Ferdinando Nunziata; Maurizio Migliaccio. A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images. Remote Sensing 2021, 13, 1183 .

AMA Style

Valeria Corcione, Andrea Buono, Ferdinando Nunziata, Maurizio Migliaccio. A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images. Remote Sensing. 2021; 13 (6):1183.

Chicago/Turabian Style

Valeria Corcione; Andrea Buono; Ferdinando Nunziata; Maurizio Migliaccio. 2021. "A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images." Remote Sensing 13, no. 6: 1183.

Journal article
Published: 06 November 2020 in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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This study deals with coastline extraction using multi-polarization spaceborne Synthetic Aperture Radar (SAR) imagery acquired over coastal intertidal areas. The latter are very challenging environments where mud flats lead to a large variability of normalized radar cross section (NRCS), which may trigger a significant number of false edges during the extraction process. The performance of SAR-based coastline extraction methods that rely on a joint combination of multi-polarization information (either single-or dual-polarization metrics) and speckle filtering (either local and non-local approaches) are analyzed using Global Pointing System (GPS) samples and collocated SAR imagery collected under different incidence angles. Our test site is an intertidal zone with a wetland (i. e., salt marsh) in the Solway Firth, southwest along the Scottish-English border. Experimental results, obtained processing a pair of RadarSAT-2 full-polarimetric and a pair of Sentinel-1 dual-polarimetric SAR imagery augmented by co-located GPS samples, show that: a) the multi-polarization information outperforms the single-polarization counterpart in terms of extraction accuracy; b) among the single-polarization channels, the cross-polarized one performs best; c) both single-and dual-polarization methods perform better when non-local speckle filtering is applied; d) the joint combination of non-local speckle filter and dual-polarization information provides the best accuracy; e) the incidence angle plays a role in the extraction accuracy with larger incidence angles resulting in the best performance when dual-polarization metric is used.

ACS Style

Emanuele Ferrentino; Andrea Buono; Ferdinando Nunziata; Armando Marino; Maurizio Migliaccio. On the Use of Multipolarization Satellite SAR Data for Coastline Extraction in Harsh Coastal Environments: The Case of Solway Firth. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020, 14, 249 -257.

AMA Style

Emanuele Ferrentino, Andrea Buono, Ferdinando Nunziata, Armando Marino, Maurizio Migliaccio. On the Use of Multipolarization Satellite SAR Data for Coastline Extraction in Harsh Coastal Environments: The Case of Solway Firth. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020; 14 (99):249-257.

Chicago/Turabian Style

Emanuele Ferrentino; Andrea Buono; Ferdinando Nunziata; Armando Marino; Maurizio Migliaccio. 2020. "On the Use of Multipolarization Satellite SAR Data for Coastline Extraction in Harsh Coastal Environments: The Case of Solway Firth." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, no. 99: 249-257.

Journal article
Published: 04 August 2020 in Energies
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The valorization of residual biomass plays today a decisive role in the concept of “circular economy”, according to which each waste material must be reused to its maximum extent. The collection and energy valorization at the local level of biomass from forest management practices and wildfire prevention cutting can be settled in protected areas to contribute to local decarbonization, by removing power generation from fossil fuels. Despite the evident advantages of bioenergy systems, several problems still hinder their diffusion, such as the need to assure their reliability by extending the operating range with materials of different origin. The Italian project “INNOVARE—Innovative plants for distributed poly-generation by residual biomass”, funded by the Italian Ministry of Economic Development (MISE), has the main scope of improving micro-cogeneration technologies fueled by biomass. A micro-combined heat and power (mCHP) unit was chosen as a case study to discuss pros and cons of biomass-powered cogeneration within a national park, especially due to its flexibility of use. The availability of local biomasses (woodchips, olive milling residuals) was established by studying the agro-industrial production and by identifying forest areas to be properly managed through an approach using a satellite location system based on the microwave technology. A detailed synergic numerical and experimental characterization of the selected cogeneration system was performed in order to identify its main inefficiencies. Improvements of its operation were optimized by acting on the engine control strategy and by also adding a post-treatment system on the engine exhaust gas line. Overall, the electrical output was increased by up to 6% using the correct spark timing, and pollutant emissions were reduced well below the limits allowed by legislation by working with a lean mixture and by adopting an oxidizing catalyst. Finally, the global efficiency of the system increased from 45.8% to 63.2%. The right blending of different biomasses led to an important improvement of the reliability of the entire plant despite using an agrifood residual, such as olive pomace. It was demonstrated that the use of this biomass is feasible if its maximum mass percentage in a wood matrix mixture does not exceed 25%. The project was concluded with a real operation demonstration within a national park in Southern Italy by replacing a diesel genset with the analyzed and improved biomass-powered plant and by proving a decisive improvement of air quality in the real environment during exercise.

ACS Style

M. Costa; A. Buono; C. Caputo; A. Carotenuto; D. Cirillo; M. A. Costagliola; G. Di Blasio; M. La Villetta; A. Macaluso; G. Martoriello; N. Massarotti; A. Mauro; M. Migliaccio; V. Mulone; F. Murena; D. Piazzullo; M. V. Prati; V. Rocco; A. Stasi; L. Vanoli; A. Cinocca; D. Di Battista; A. De Vita. The “INNOVARE” Project: Innovative Plants for Distributed Poly-Generation by Residual Biomass. Energies 2020, 13, 4020 .

AMA Style

M. Costa, A. Buono, C. Caputo, A. Carotenuto, D. Cirillo, M. A. Costagliola, G. Di Blasio, M. La Villetta, A. Macaluso, G. Martoriello, N. Massarotti, A. Mauro, M. Migliaccio, V. Mulone, F. Murena, D. Piazzullo, M. V. Prati, V. Rocco, A. Stasi, L. Vanoli, A. Cinocca, D. Di Battista, A. De Vita. The “INNOVARE” Project: Innovative Plants for Distributed Poly-Generation by Residual Biomass. Energies. 2020; 13 (15):4020.

Chicago/Turabian Style

M. Costa; A. Buono; C. Caputo; A. Carotenuto; D. Cirillo; M. A. Costagliola; G. Di Blasio; M. La Villetta; A. Macaluso; G. Martoriello; N. Massarotti; A. Mauro; M. Migliaccio; V. Mulone; F. Murena; D. Piazzullo; M. V. Prati; V. Rocco; A. Stasi; L. Vanoli; A. Cinocca; D. Di Battista; A. De Vita. 2020. "The “INNOVARE” Project: Innovative Plants for Distributed Poly-Generation by Residual Biomass." Energies 13, no. 15: 4020.

Journal article
Published: 30 June 2020 in IEEE Transactions on Electromagnetic Compatibility
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In this study, a reverberation chamber is used to perform measurements of shielding effectiveness (SE) and average total radiated power (ATRP) related to a domestic microwave oven for human exposure purposes. The ATRP is measured according to Annex E in the standard IEC 61000-4-21 procedure, and a new nondestructive procedure is proposed to measure SE that relies on the internal source of the microwave oven and on the reverberation chamber. Under mild hypothesis, the nondestructive procedure is both theoretically and experimentally equivalent to the IEEE 299.1 one. In addition, the measured ATRP values are within the limits defined in EN 62233.

ACS Style

Angelo Gifuni; Giuseppe Grassini; Andrea Buono; Domenico Festa; Ian D. Flintoft; Simone Gargiulo; Ferdinando Nunziata; Maurizio Migliaccio. Nondestructive Reverberation Chamber Measurement of Microwave Oven Total Radiated Power and Shielding Effectiveness. IEEE Transactions on Electromagnetic Compatibility 2020, 1 -8.

AMA Style

Angelo Gifuni, Giuseppe Grassini, Andrea Buono, Domenico Festa, Ian D. Flintoft, Simone Gargiulo, Ferdinando Nunziata, Maurizio Migliaccio. Nondestructive Reverberation Chamber Measurement of Microwave Oven Total Radiated Power and Shielding Effectiveness. IEEE Transactions on Electromagnetic Compatibility. 2020; (99):1-8.

Chicago/Turabian Style

Angelo Gifuni; Giuseppe Grassini; Andrea Buono; Domenico Festa; Ian D. Flintoft; Simone Gargiulo; Ferdinando Nunziata; Maurizio Migliaccio. 2020. "Nondestructive Reverberation Chamber Measurement of Microwave Oven Total Radiated Power and Shielding Effectiveness." IEEE Transactions on Electromagnetic Compatibility , no. 99: 1-8.

Journal article
Published: 22 January 2020 in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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ACS Style

Emanuele Ferrentino; Ferdinando Nunziata; Andrea Buono; Angelo Urciuoli; Maurizio Migliaccio. Multi-polarization time-series of Sentinel-1 SAR imagery to analyze variations of reservoirs’ water-body. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020, 1 -1.

AMA Style

Emanuele Ferrentino, Ferdinando Nunziata, Andrea Buono, Angelo Urciuoli, Maurizio Migliaccio. Multi-polarization time-series of Sentinel-1 SAR imagery to analyze variations of reservoirs’ water-body. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020; ():1-1.

Chicago/Turabian Style

Emanuele Ferrentino; Ferdinando Nunziata; Andrea Buono; Angelo Urciuoli; Maurizio Migliaccio. 2020. "Multi-polarization time-series of Sentinel-1 SAR imagery to analyze variations of reservoirs’ water-body." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , no. : 1-1.

Conference paper
Published: 01 September 2019 in 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI)
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In this study, the effects of speckle filtering in polarimetric Synthetic Aperture Radar (SAR) imagery is investigated for shoreline extraction purposes. In particular, non-local (NL) means filters paradigm is applied to polarimetric SAR measurements in order to derive exact shoreline positions in complex scenarios as sandy beaches. As a showcase, shoreline extraction is undertaken, according to the polarimetric algorithm proposed in [1], from a C-band Radarsat-2 SAR scene covering the historical site of Monasterace (Calabria region, Italy). A preliminary analysis on how to set-up the parameters of the non-local means filter used to reduce speckle noise is undertaken. In addition, in order to evaluate the performance of the non-local means filters to be exploited for polarimetric SAR-based shoreline extraction purposes, a fair comparison with reference polarimetric speckle filters widely used in literature, i. e., the boxcar and the refined Lee filter, is made in terms of accuracy by means of reference Global Positioning System samples considered as ground truth. The NL means speckle filters was shown to outperform the others in terms of accuracy and stability.

ACS Style

Angelo Urciuoli; Andrea Buono; Ferdinando Nunziata; Maurizio Migliaccio. Analysis of Local-and Non-Local Filters for Multi-Polarization SAR Coastline Extraction Applications. 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI) 2019, 28 -33.

AMA Style

Angelo Urciuoli, Andrea Buono, Ferdinando Nunziata, Maurizio Migliaccio. Analysis of Local-and Non-Local Filters for Multi-Polarization SAR Coastline Extraction Applications. 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI). 2019; ():28-33.

Chicago/Turabian Style

Angelo Urciuoli; Andrea Buono; Ferdinando Nunziata; Maurizio Migliaccio. 2019. "Analysis of Local-and Non-Local Filters for Multi-Polarization SAR Coastline Extraction Applications." 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI) , no. : 28-33.

Conference paper
Published: 01 July 2019 in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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In this study, the capability of polarimetric Non Local Filters (NLFs) for speckle reduction in POLarimetric Synthetic Aperture Radar (POLSAR) measurements is investigated. Among different POLSAR applications where speckle filtering is a key point, shoreline extraction is here addressed. A C-band Radarsat-2 POLSAR scene is considered where the shoreline extraction procedure proposed in [5] is applied. The effects of different POLSAR speckle filters, including NLFs, are analyzed.

ACS Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio. The Use of Non Local Filters in Polsar Applications. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium 2019, 5189 -5192.

AMA Style

Ferdinando Nunziata, Andrea Buono, Maurizio Migliaccio. The Use of Non Local Filters in Polsar Applications. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. 2019; ():5189-5192.

Chicago/Turabian Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio. 2019. "The Use of Non Local Filters in Polsar Applications." IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium , no. : 5189-5192.

Journal article
Published: 12 March 2019 in IEEE Transactions on Geoscience and Remote Sensing
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ACS Style

Maurizio Migliaccio; Lanqing Huang; Andrea Buono. SAR Speckle Dependence on Ocean Surface Wind Field. IEEE Transactions on Geoscience and Remote Sensing 2019, 57, 5447 -5455.

AMA Style

Maurizio Migliaccio, Lanqing Huang, Andrea Buono. SAR Speckle Dependence on Ocean Surface Wind Field. IEEE Transactions on Geoscience and Remote Sensing. 2019; 57 (8):5447-5455.

Chicago/Turabian Style

Maurizio Migliaccio; Lanqing Huang; Andrea Buono. 2019. "SAR Speckle Dependence on Ocean Surface Wind Field." IEEE Transactions on Geoscience and Remote Sensing 57, no. 8: 5447-5455.

Journal article
Published: 30 January 2019 in Sustainability
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The objective of the present study is to achieve a better understanding of the possible rotation of embayed beaches using shoreline position data from two beaches on the central Tyrrhenian Sea (Italy) during a 64-year period. With this aim, this study tests the utility of Differential Global Positioning System (DGPS) and GPS RTK (Real Time Kinematic) dual-frequency navigation system for the in situ surveys, low-altitude aerial imagery collected by Unmanned Aerial Vehicle (UAV), and satellite polarimetric Synthetic Aperture Radar (SAR) measurements. The dataset consists of aerial photographs and orthophotos, DGPS, and remote surveys performed by UAV and SAR platform in 2018 along with wave data coming from the Ponza buoy. The results of the field data analysis explained a part of the beach variations in terms of coastline rotation around a virtual pivotal point. This rotation has been correlated with the wave directional shift in the recent period. The results of the comparison between the different techniques gave the possibility to investigate the limitations of remote survey methods for the identification of shoreline rotation.

ACS Style

Diana Di Luccio; Guido Benassai; Gianluigi Di Paola; Luigi Mucerino; Andrea Buono; Carmen Maria Rosskopf; Ferdinando Nunziata; Maurizio Migliaccio; Angelo Urciuoli; Raffaele Montella. Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys. Sustainability 2019, 11, 725 .

AMA Style

Diana Di Luccio, Guido Benassai, Gianluigi Di Paola, Luigi Mucerino, Andrea Buono, Carmen Maria Rosskopf, Ferdinando Nunziata, Maurizio Migliaccio, Angelo Urciuoli, Raffaele Montella. Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys. Sustainability. 2019; 11 (3):725.

Chicago/Turabian Style

Diana Di Luccio; Guido Benassai; Gianluigi Di Paola; Luigi Mucerino; Andrea Buono; Carmen Maria Rosskopf; Ferdinando Nunziata; Maurizio Migliaccio; Angelo Urciuoli; Raffaele Montella. 2019. "Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys." Sustainability 11, no. 3: 725.

Review
Published: 28 December 2018 in Sustainability
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Sea environments harbor a wide variety of life forms that have adapted to live in hard and sometimes extreme conditions. Among the marine living organisms, extremophiles represent a group of microorganisms that attract increasing interest in relation to their ability to produce an array of molecules that enable them to thrive in almost every marine environment. Extremophiles can be found in virtually every extreme environment on Earth, since they can tolerate very harsh environmental conditions in terms of temperature, pH, pressure, radiation, etc. Marine extremophiles are the focus of growing interest in relation to their ability to produce biotechnologically useful enzymes, the so-called extremozymes. Thanks to their resistance to temperature, pH, salt, and pollutants, marine extremozymes are promising biocatalysts for new and sustainable industrial processes, thus representing an opportunity for several biotechnological applications. Since the marine microbioma, i.e., the complex of microorganisms living in sea environments, is still largely unexplored finding new species is a central issue for green biotechnology. Here we described the main marine environments where extremophiles can be found, some existing or potential biotechnological applications of marine extremozymes for biofuels production and bioremediation, and some possible approaches for the search of new biotechnologically useful species from marine environments.

ACS Style

Paola Di Donato; Andrea Buono; Annarita Poli; Ilaria Finore; Gennaro Roberto Abbamondi; Barbara Nicolaus; Licia Lama. Exploring Marine Environments for the Identification of Extremophiles and Their Enzymes for Sustainable and Green Bioprocesses. Sustainability 2018, 11, 149 .

AMA Style

Paola Di Donato, Andrea Buono, Annarita Poli, Ilaria Finore, Gennaro Roberto Abbamondi, Barbara Nicolaus, Licia Lama. Exploring Marine Environments for the Identification of Extremophiles and Their Enzymes for Sustainable and Green Bioprocesses. Sustainability. 2018; 11 (1):149.

Chicago/Turabian Style

Paola Di Donato; Andrea Buono; Annarita Poli; Ilaria Finore; Gennaro Roberto Abbamondi; Barbara Nicolaus; Licia Lama. 2018. "Exploring Marine Environments for the Identification of Extremophiles and Their Enzymes for Sustainable and Green Bioprocesses." Sustainability 11, no. 1: 149.

Journal article
Published: 21 December 2018 in Remote Sensing
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This study aimed at analyzing the effect of Synthetic Aperture Radar (SAR) imaging parameters and environmental conditions on the standard deviation of the co-polarized phase difference (sjC ) evaluated over sea surface

ACS Style

Andrea Buono; Carina Regina De Macedo; Ferdinando Nunziata; Domenico Velotto; Maurizio Migliaccio. Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface. Remote Sensing 2018, 11, 18 .

AMA Style

Andrea Buono, Carina Regina De Macedo, Ferdinando Nunziata, Domenico Velotto, Maurizio Migliaccio. Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface. Remote Sensing. 2018; 11 (1):18.

Chicago/Turabian Style

Andrea Buono; Carina Regina De Macedo; Ferdinando Nunziata; Domenico Velotto; Maurizio Migliaccio. 2018. "Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface." Remote Sensing 11, no. 1: 18.

Articles
Published: 13 November 2018 in International Journal of Remote Sensing
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A large time series of 42 dual–polarimetric co–polarized TerraSAR-X (TSX) StripMap Synthetic Aperture Radar (SAR) measurements are exploited to monitor a well-known oil seep area, i.e., the Taylor Energy site in the Gulf of Mexico. A comprehensive scattering analysis is undertaken to assess the impact of SAR imaging parameters (polarization, angle of incidence – AOI, noise floor) and environmental conditions (wind speed – WS, oil properties) on single-polarization SAR–based sea oil seep observation. The main goal of this study is to evaluate the reliability of the scattering–based information derived from the time series of TSX SAR imagery. A two-scale backscattering model is considered to give a physical framework that supports a better understanding of the effects of the above–mentioned factors. Experimental results showed that the high TSX noise floor significantly limits a reliable interpretation of the slick–free sea surface and oil seep backscattering at AOIs larger than 34 and 26, respectively, since they are contaminated by noise. Hence, it is shown that, at larger AOIs, the joint contribution of noisy SAR measurements and low oil backscattering does not result in a larger oil/sea separability. The latter is not remarkably influenced by polarization and WS, under low–to–moderate conditions. Experiments also demonstrate that, when reliable SAR measurements are available, sea oil seep backscattering is affected by the oil’s damping properties more than its concentration in the water column. The time variability of the polluted area is also estimated using the time series of TSX imagery and the obtained results agree with independent analysis undertaken on the same test site.

ACS Style

F. Nunziata; C. R. De Macedo; A. Buono; D. Velotto; M. Migliaccio. On the analysis of a time series of X–band TerraSAR–X SAR imagery over oil seepages. International Journal of Remote Sensing 2018, 40, 3623 -3646.

AMA Style

F. Nunziata, C. R. De Macedo, A. Buono, D. Velotto, M. Migliaccio. On the analysis of a time series of X–band TerraSAR–X SAR imagery over oil seepages. International Journal of Remote Sensing. 2018; 40 (9):3623-3646.

Chicago/Turabian Style

F. Nunziata; C. R. De Macedo; A. Buono; D. Velotto; M. Migliaccio. 2018. "On the analysis of a time series of X–band TerraSAR–X SAR imagery over oil seepages." International Journal of Remote Sensing 40, no. 9: 3623-3646.

Journal article
Published: 10 October 2018 in Sustainability
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Oil spills are adverse events that may be very harmful to ecosystems and the food chain. In particular, large sea oil spills are very dramatic occurrences that may affect sea and coastal areas. Hence, the sustainability of oil rig infrastructures and oil transportation via oil tankers is linked to law enforcement based on proper monitoring techniques, which are also fundamental to mitigate the impact of such pollution. In this study, a showcase referring to the Deepwater Horizon (DWH) oil incident, one of the world’s largest incidental oil pollution event that occurred in the Gulf of Mexico in 2010 affecting a sea area larger than 10,000 km 2 , is analyzed using remotely-sensed information collected by Synthetic Aperture Radar (SAR). Although, operationally, SAR sea oil slick observation is typically accomplished using C-band VV-polarized SAR imagery, during the DWH oil incident, because of their very dense revisit time, even single-polarization X-band COSMO-SkyMed (CSK) SAR measurements were collected. In this study, we exploit, for the first time, incoherent dual co-polarization SAR data collected by the Italian CSK X-band SAR constellation showing the key benefits of HH-VV SAR measurements in observing such a huge oil pollution event, especially in terms of the very dense revisit time offered by the CSK constellation.

ACS Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio. COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. Sustainability 2018, 10, 3599 .

AMA Style

Ferdinando Nunziata, Andrea Buono, Maurizio Migliaccio. COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. Sustainability. 2018; 10 (10):3599.

Chicago/Turabian Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio. 2018. "COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill." Sustainability 10, no. 10: 3599.

Conference paper
Published: 01 October 2018 in 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
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Coastal geomorphology requires increasingly accurate topographic information of the beach systems to perform reliable simulation of coastal erosion and flooding phenomena, in order to obtain reliable vulnerability assessment. Among the range of remote sensing methods available to produce measurement of the coastline, this study tests the utility of low-altitude aerial imagery by Unmanned Aerial Vehicle (UAV) on the beaches of Serapo and S. Agostino, located in the Latinum region, in the Thyrrenian Sea, and spaceborne Synthetic Aperture Radar (SAR) measurements which are processed with the purpose of exploiting the dual-polarimetric information to better distinguish land from sea.The dataset consists of two sets of images, both acquired by UAV and SAR platforms, the first in December 2013 and the second in June 2018. A comparison of the coastline extraction obtained with the same technique in two different temporal sequences and between different techniques in the same period has been performed in order to assess benefits and limitations of each methodology.

ACS Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio; Guido Benassai; Diana Di Luccio. Shoreline erosion of microtidal beaches examined with UAV and remote sensing techniques. 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) 2018, 162 -166.

AMA Style

Ferdinando Nunziata, Andrea Buono, Maurizio Migliaccio, Guido Benassai, Diana Di Luccio. Shoreline erosion of microtidal beaches examined with UAV and remote sensing techniques. 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). 2018; ():162-166.

Chicago/Turabian Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio; Guido Benassai; Diana Di Luccio. 2018. "Shoreline erosion of microtidal beaches examined with UAV and remote sensing techniques." 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) , no. : 162-166.

Conference paper
Published: 01 September 2018 in 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Since 2016 the fracture of the Larsen-C ice shelf has been regularly observed in the Eastern Weddell Sea (68°S, 61°W, Antarctica). This process led to the final collapse in July 2017, when an area of about 6000 km 2 (i. e., about 9-12% of the whole shelf) was lost. In this study the resulting calved iceberg, termed as “A-68” from the U. S. National Ice Center, is observed using multi-frequency and multi-polarization Synthetic Aperture Radar (SAR) satellite platforms that include L-band Alos PaISAR-2, C-band Sentinel-l and X-band COSMO-SkyMed. A large set of SAR scenes were considered, collected in ScanSAR imaging modes over a time span of about 1 year, to analyze the iceberg properties and its melting process and drifting.

ACS Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio; Miguel Moctezuma; Flavio Parmiggiani; Giuseppe Aulicino. Multi-Frequency and Multi-Polarization Synthetic Aperture Radar for the Larsen-C A-68 Iceberg Monitoring. 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI) 2018, 1 -4.

AMA Style

Ferdinando Nunziata, Andrea Buono, Maurizio Migliaccio, Miguel Moctezuma, Flavio Parmiggiani, Giuseppe Aulicino. Multi-Frequency and Multi-Polarization Synthetic Aperture Radar for the Larsen-C A-68 Iceberg Monitoring. 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI). 2018; ():1-4.

Chicago/Turabian Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio; Miguel Moctezuma; Flavio Parmiggiani; Giuseppe Aulicino. 2018. "Multi-Frequency and Multi-Polarization Synthetic Aperture Radar for the Larsen-C A-68 Iceberg Monitoring." 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI) , no. : 1-4.

Preprint
Published: 27 July 2018
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Oil spills are adverse events that may be very harmful to ecosystems and food chain. In particular, large sea oil spills are very dramatic occurrence often affecting sea and coastal areas. Therefore the sustainability of oil rig infrastructures and oil transportation via oil tankers are linked to law enforcement based on proper monitoring techniques which are also fundamental to mitigate the impact of such pollution. Within this context, in this study a meaningful showcase is analyzed using remotely sensed measurements collected by the Synthetic Aperture Radar (SAR) operated by the COSMO-SkyMed (CSK) constellation. The showcase presented refers to the Deepwater Horizon (DWH) oil incident that occurred in the Gulf of Mexico in 2010. It is one of the world's largest incidental oil pollution event that affected a sea area larger than 10,000 km2. In this study we exploit, for the first time, dual co-polarization SAR data collected by the Italian CSK X-band SAR constellation showing the key benefits of HH-VV SAR measurements in observing such a huge oil pollution event, especially in terms of the very dense revisit time offered by the CSK constellation.

ACS Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio. COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. 2018, 1 .

AMA Style

Ferdinando Nunziata, Andrea Buono, Maurizio Migliaccio. COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill. . 2018; ():1.

Chicago/Turabian Style

Ferdinando Nunziata; Andrea Buono; Maurizio Migliaccio. 2018. "COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill." , no. : 1.