Settori Fisica Sperimentale e Fisica della terra
Area di ricerca: Area 02 - Scienze dell'Idrogeosfera
Settore: FIS01 - Fisica sperimentale e FIS06 - Fisica per il sistema terra e il mezzo circumterrestre
Ricercatori settore FIS01:
professori: Paolo Di Girolamo, Maria Ragosta
dottorandi: Noemi Franco, Marco Di Paolantonio
Ricercatori settore FIS06:
professori: Francesco Esposito, Guido Masiello, Carmine Serio, Valerio Tramutoli
ricercatori: Nicola Genzano
assegnisti: Angela Cersosimo, sara Venafrea, valeria Satriano
dottorandi: Francesca Agresti, Roberto Colonna, Pietro Mastro, Francesco Falabella, Pamela Pasquariello
Tecnico: Gerardo Di Bello
Linee di ricerca:
Il gruppo della Fisica sperimentale e dell'atmosfera lavora alle applicazioni delle onde elettromagnetiche nell'ultravioletto, visibile, infrarosso e microonde per lo sviluppo di sensori e metodi di analisi avanzati per le Osservazioni della Terra dallo Spazio e dal suolo. In tale contesto, l'area è presente sulle problematiche legate allo sviluppo delle tecniche LIDAR (LIgth Detection and Ranging), e della Spettroscopia di Fourier nell'infrarosso termico e lontano infrarosso. Non è tralasciata la parte modellistica di trasferimento radiativo in atmosfera terrestre, in presenza di componenti gassosi, aerosols e nubi. Tradizionalmente l'area fornisce supporto scientifico allo sviluppo di strumenti qualificati per missioni spaziali: radiometri e spettrometri di Fourier, LIDAR. Si occupa anche di tecniche e metodi per l'utilizzo di strumentazione, anche futura, da satellite. E' inserita nelle grandi missioni satellitari delle maggiori Agenzie Spaziali internazionali ed europee: NASA, NASDA, ESA, CNES. L'attività sperimentale fa anche ricorso alla collaborazione con l'istituto IMAA del CNR di Tito Scalo, Pz, di cui l'area Fisica è stata principale co-fondatore, nonché sostenitore negli anni '90. Con tale istituto, oggi, l'area della Fisica condivide progetti in ambito nazionale (PRIN, PON, ASI) ed europeo (EU). All'interno dell'area FIS/06 opera un gruppo molto focalizzato sulle applicazioni dello strumento satellitare, con particolare riguardo alle problematiche connesse al monitoraggio dei rischi ambientali, naturali e industriali. In particolare le tematiche comprendono anche lo sviluppo di metodi robusti per l'analisi di serie storiche di osservazioni satellitari. Nell'area della Fisica sperimentale è altresì presente una componente che si interessa più specificamente di Fisica Ambientale, con particolare riguardo alla caratterizzazione dei livelli di inquinamento in atmosfera ed al suolo con metodologie statistiche avanzate. La struttura dell'area è fortemente internazionalizzata con una presenza continua all'interno di Working Groups e Commissioni Internazionali che svolgono la loro missione scientifica per lo sviluppo della Fisica applicata alle Osservazioni della Terra da satellite, alla meteorologia ed allo studio dei processi atmosferici, con particolare riguardo alla spettroscopia di base e applicata dei maggiori gas serra dell'atmosfera del pianeta Terra.
Elenco delle pubblicazioni degli ultimi 5 anni
Articoli su Rivista 2021 [1]–[18], 2020 [19]–[38], 2019 [39]–[55], 2018 [56]–[75], 2017 [76]–[92], [93]–[124], Capitoli di Libro [125]–[127]
ARTICOLI SU RIVISTA
[1] F. Falabella, C. Serio, G. Masiello, Q. Zhao, e A. Pepe, «A Multigrid InSAR Technique for Joint Analyses at Single-Look and Multi-Look Scales», IEEE Geosci. Remote Sensing Lett., vol. 19, pagg. 1–5, 2022, doi: 10.1109/LGRS.2021.3086271.
[2] P. Di Girolamo, G. Piras, e F. Pini, «The effect of COVID-19 on the distribution of PM10 pollution classes of vehicles: Comparison between 2020 and 2018», Science of The Total Environment, vol. 811, pag. 152036, mar. 2022, doi: 10.1016/j.scitotenv.2021.152036.
[3] M. Ragosta, M. D’Emilio, L. Casaletto, e V. Telesca, «A Statistical Procedure for Analyzing the Behavior of Air Pollutants during Temperature Extreme Events: The Case Study of Emilia-Romagna Region (Northern Italy)», Applied Sciences, vol. 11, n. 17, pag. 8266, set. 2021, doi: 10.3390/app11178266.
[4] F. Pini, G. Piras, D. Astiaso Garcia, e P. Di Girolamo, «Impact of the different vehicle fleets on PM10 pollution: Comparison between the ten most populous Italian metropolitan cities for the year 2018», Science of The Total Environment, vol. 773, pag. 145524, giu. 2021, doi: 10.1016/j.scitotenv.2021.145524.
[5] A. Pepe, P. Mastro, e C. E. Jones, «Adaptive Multilooking of Multitemporal Differential SAR Interferometric Data Stack Using Directional Statistics», IEEE Transactions on Geoscience and Remote Sensing, vol. 59, n. 8, pagg. 6706–6721, ago. 2021, doi: 10.1109/TGRS.2020.3030003.
[6] S. Peleli, M. Kouli, F. Marchese, T. Lacava, F. Vallianatos, e V. Tramutoli, «Monitoring temporal variations in the geothermal activity of Miocene Lesvos volcanic field using remote sensing techniques and MODIS – LST imagery», International Journal of Applied Earth Observation and Geoinformation, vol. 95, pag. 102251, mar. 2021, doi: 10.1016/j.jag.2020.102251.
[7] M. Parrot et al., «Atmospheric and ionospheric coupling phenomena associated with large earthquakes», Eur. Phys. J. Spec. Top., vol. 230, n. 1, pagg. 197–225, gen. 2021, doi: 10.1140/epjst/e2020-000251-3.
[8] G. Mazzeo, M. S. Ramsey, F. Marchese, N. Genzano, e N. Pergola, «Implementation of the NHI (Normalized Hot Spot Indices) Algorithm on Infrared ASTER Data: Results and Future Perspectives», Sensors, vol. 21, n. 4, pag. 1538, feb. 2021, doi: 10.3390/s21041538.
[9] M. Martinazzo, D. Magurno, W. Cossich, C. Serio, G. Masiello, e T. Maestri, «Assessment of the accuracy of scaling methods for radiance simulations at far and mid infrared wavelengths», Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 271, pag. 107739, set. 2021, doi: 10.1016/j.jqsrt.2021.107739.
[10] F. Marchese et al., «Mt. Etna Paroxysms of February–April 2021 Monitored and Quantified through a Multi-Platform Satellite Observing System», Remote Sensing, vol. 13, n. 16, pag. 3074, ago. 2021, doi: 10.3390/rs13163074.
[11] F. Madonna, D. Summa, P. Di Girolamo, F. Marra, Y. Wang, e M. Rosoldi, «Assessment of Trends and Uncertainties in the Atmospheric Boundary Layer Height Estimated Using Radiosounding Observations over Europe», Atmosphere, vol. 12, n. 3, pag. 301, feb. 2021, doi: 10.3390/atmos12030301.
[12] T. Landi et al., «Aerosol Direct Radiative Effects under Cloud-Free Conditions over Highly-Polluted Areas in Europe and Mediterranean: A Ten-Years Analysis (2007–2016)», Remote Sensing, vol. 13, n. 15, pag. 2933, lug. 2021, doi: 10.3390/rs13152933.
[13] N. Genzano, F. Marchese, M. Neri, N. Pergola, e V. Tramutoli, «Implementation of Robust Satellite Techniques for Volcanoes on ASTER Data under the Google Earth Engine Platform», Applied Sciences, vol. 11, n. 9, pag. 4201, mag. 2021, doi: 10.3390/app11094201.
[14] N. Genzano, C. Filizzola, K. Hattori, N. Pergola, e V. Tramutoli, «Statistical Correlation Analysis Between Thermal Infrared Anomalies Observed From MTSATs and Large Earthquakes Occurred in Japan (2005–2015)», J Geophys Res Solid Earth, vol. 126, n. 2, feb. 2021, doi: 10.1029/2020JB020108.
[15] C. Flamant et al., «A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative», Bull. of Atmos. Sci.& Technol., vol. 2, n. 1–4, pag. 10, dic. 2021, doi: 10.1007/s42865-021-00037-6.
[16] R. Colonna e V. Tramutoli, «A New Model of Solar Illumination of Earth’s Atmosphere during Night-Time», Earth, vol. 2, n. 2, pagg. 191–207, apr. 2021, doi: 10.3390/earth2020012.
[17] E. Ciancia et al., «Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST)», Remote Sensing, vol. 13, n. 24, pag. 5151, dic. 2021, doi: 10.3390/rs13245151.
[18] M. Boettcher et al., «Lagrangian matches between observations from aircraft, lidar and radar in a warm conveyor belt crossing orography», Atmos. Chem. Phys., vol. 21, n. 7, pagg. 5477–5498, apr. 2021, doi: 10.5194/acp-21-5477-2021.
[19] R. Tsutsumi, K. Hattori, C. Yoshino, e N. Genzano, «Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity, Japan: Spatiotemporal Variation of Singularity of MODIS Data after Discriminating False Changes Due to Cloud», Remote Sensing, vol. 12, n. 16, pag. 2637, ago. 2020, doi: 10.3390/rs12162637.
[20] V. Tramutoli e F. Vallianatos, «Foreword: Advances in Multi-Parametric, Time-Dependent Assessment of Seismic Hazard and Earthquakes Forecast», Annals of Geophysics, vol. 63, n. 5, pag. 1, nov. 2020, doi: 10.4401/ag-8594.
[21] C. Serio, G. Masiello, P. Mastro, e D. C. Tobin, «Characterization of the Observational Covariance Matrix of Hyper-Spectral Infrared Satellite Sensors Directly from Measured Earth Views», Sensors, vol. 20, n. 5, pag. 1492, mar. 2020, doi: 10.3390/s20051492.
[22] A. Rita et al., «The impact of drought spells on forests depends on site conditions: The case of 2017 summer heat wave in southern Europe», Glob Change Biol, vol. 26, n. 2, pagg. 851–863, feb. 2020, doi: 10.1111/gcb.14825.
[23] S. Plank, F. Marchese, N. Genzano, M. Nolde, e S. Martinis, «The short life of the volcanic island New Late’iki (Tonga) analyzed by multi-sensor remote sensing data», Sci Rep, vol. 10, n. 1, pag. 22293, dic. 2020, doi: 10.1038/s41598-020-79261-7.
[24] G. Pavese, M. Calvello, J. Castagna, e F. Esposito, «Black carbon and its impact on air quality in two semi-rural sites in Southern Italy near an oil pre-treatment plant», Atmospheric Environment, vol. 233, pag. 117532, lug. 2020, doi: 10.1016/j.atmosenv.2020.117532.
[25] P. Mastro, C. Serio, G. Masiello, e A. Pepe, «The Multiple Aperture SAR Interferometry (MAI) Technique for the Detection of Large Ground Displacement Dynamics: An Overview», Remote Sensing, vol. 12, n. 7, pag. 1189, apr. 2020, doi: 10.3390/rs12071189.
[26] G. Martinelli et al., «Earthquake-Related Signals in Central Italy Detected by Hydrogeochemical and Satellite Techniques», Front. Earth Sci., vol. 8, pag. 584716, nov. 2020, doi: 10.3389/feart.2020.584716.
[27] N. Genzano, N. Pergola, e F. Marchese, «A Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by Means of Mid-High Spatial Resolution Satellite Data», Remote Sensing, vol. 12, n. 19, pag. 3232, ott. 2020, doi: 10.3390/rs12193232.
[28] N. Genzano, C. Filizzola, M. Lisi, N. Pergola, e V. Tramutoli, «Toward the development of a multi parametric system for a short-term assessment of the seismic hazard in Italy», Annals of Geophysics, vol. 63, n. 5, pag. 9, nov. 2020, doi: 10.4401/ag-8227.
[29] M. Faruolo, T. Lacava, N. Pergola, e V. Tramutoli, «The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019», Remote Sensing, vol. 12, n. 5, pag. 819, mar. 2020, doi: 10.3390/rs12050819.
[30] A. Falconieri et al., «Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements», Remote Sensing, vol. 12, n. 7, pag. 1172, apr. 2020, doi: 10.3390/rs12071172.
[31] P. Di Girolamo et al., «Introducing the Bulletin of Atmospheric Science and Technology», Bull. of Atmos. Sci.& Technol., vol. 1, n. 1, pagg. 1–11, apr. 2020, doi: 10.1007/s42865-020-00006-5.
[32] P. Di Girolamo et al., «Water vapor mixing ratio and temperature inter-comparison results in the framework of the Hydrological Cycle in the Mediterranean Experiment—Special Observation Period 1», Bull. of Atmos. Sci.& Technol., vol. 1, n. 2, pagg. 113–153, giu. 2020, doi: 10.1007/s42865-020-00008-3.
[33] P. Di Girolamo, «Assessment of the potential role of atmospheric particulate pollution and airborne transmission in intensifying the first wave pandemic impact of SARS-CoV-2/COVID-19 in Northern Italy», Bull. of Atmos. Sci.& Technol., vol. 1, n. 3–4, pagg. 515–550, dic. 2020, doi: 10.1007/s42865-020-00024-3.
[34] B. De Rosa, P. Di Girolamo, e D. Summa, «Temperature and water vapour measurements in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC)», Atmos. Meas. Tech., vol. 13, n. 2, pagg. 405–427, feb. 2020, doi: 10.5194/amt-13-405-2020.
[35] I. De Feis, G. Masiello, e A. Cersosimo, «Optimal Interpolation for Infrared Products from Hyperspectral Satellite Imagers and Sounders», Sensors, vol. 20, n. 8, pag. 2352, apr. 2020, doi: 10.3390/s20082352.
[36] E. Ciancia et al., «Modeling and Multi-Temporal Characterization of Total Suspended Matter by the Combined Use of Sentinel 2-MSI and Landsat 8-OLI Data: The Pertusillo Lake Case Study (Italy)», Remote Sensing, vol. 12, n. 13, pag. 2147, lug. 2020, doi: 10.3390/rs12132147.
[37] A. Cersosimo, C. Serio, e G. Masiello, «TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations», Remote Sensing, vol. 12, n. 14, pag. 2212, lug. 2020, doi: 10.3390/rs12142212.
[38] M. Borro et al., «Evidence-Based Considerations Exploring Relations between SARS-CoV-2 Pandemic and Air Pollution: Involvement of PM2.5-Mediated Up-Regulation of the Viral Receptor ACE-2», IJERPH, vol. 17, n. 15, pag. 5573, ago. 2020, doi: 10.3390/ijerph17155573.
[39] V. Tramutoli et al., «Tropospheric and Ionospheric Anomalies Induced by Volcanic and Saharan Dust Events as Part of Geosphere Interaction Phenomena», Geosciences, vol. 9, n. 4, pag. 177, apr. 2019, doi: 10.3390/geosciences9040177.
[40] D. Stelitano, P. Di Girolamo, A. Scoccione, D. Summa, e M. Cacciani, «Characterization of atmospheric aerosol optical properties based on the combined use of a ground-based Raman lidar and an airborne optical particle counter in the framework of the Hydrological Cycle in the Mediterranean Experiment – Special Observation Period 1», Atmos. Meas. Tech., vol. 12, n. 4, pagg. 2183–2199, apr. 2019, doi: 10.5194/amt-12-2183-2019.
[41] C. Serio, G. Masiello, C. Camy-Peyret, e G. Liuzzi, «CO2 spectroscopy and forward/inverse radiative transfer modelling in the thermal band using IASI spectra», Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 222–223, pagg. 65–83, gen. 2019, doi: 10.1016/j.jqsrt.2018.10.020.
[42] V. Satriano, E. Ciancia, T. Lacava, N. Pergola, e V. Tramutoli, «Improving the RST-OIL Algorithm for Oil Spill Detection under Severe Sun Glint Conditions», Remote Sensing, vol. 11, n. 23, pag. 2762, nov. 2019, doi: 10.3390/rs11232762.
[43] S. Romano, M. R. Perrone, G. Pavese, F. Esposito, e M. Calvello, «Optical properties of PM2.5 particles: Results from a monitoring campaign in southeastern Italy», Atmospheric Environment, vol. 203, pagg. 35–47, apr. 2019, doi: 10.1016/j.atmosenv.2019.01.037.
[44] M. Ragosta, M. D’Emilio, G. A. Giorgio, O. Salimbene, e P. Riccio, «Application of MCA for studying as the lifestyle and the air quality can affect forms of sleep disordered breathing», FRESENIUS ENVIRONMENTAL BULLETIN, vol. 28, n. 2, pagg. 666–671, 2019.
[45] G. Masiello, C. Serio, S. Venafra, L. Poutier, e F.-M. Göttsche, «SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval», Sensors, vol. 19, n. 7, pag. 1532, mar. 2019, doi: 10.3390/s19071532.
[46] F. Marchese, N. Genzano, M. Neri, A. Falconieri, G. Mazzeo, e N. Pergola, «A Multi-Channel Algorithm for Mapping Volcanic Thermal Anomalies by Means of Sentinel-2 MSI and Landsat-8 OLI Data», Remote Sensing, vol. 11, n. 23, pag. 2876, dic. 2019, doi: 10.3390/rs11232876.
[47] F. Marchese, A. Falconieri, C. Filizzola, N. Pergola, e V. Tramutoli, «Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data», Sensors, vol. 19, n. 5, pag. 1174, mar. 2019, doi: 10.3390/s19051174.
[48] M. Liuzzi, P. Aravena Pelizari, C. Geiß, A. Masi, V. Tramutoli, e H. Taubenböck, «A transferable remote sensing approach to classify building structural types for seismic risk analyses: the case of Val d’Agri area (Italy)», Bull Earthquake Eng, vol. 17, n. 9, pagg. 4825–4853, set. 2019, doi: 10.1007/s10518-019-00648-7.
[49] T. Lacava, E. Ciancia, M. Faruolo, N. Pergola, V. Satriano, e V. Tramutoli, «On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection», Remote Sensing, vol. 11, n. 5, pag. 598, mar. 2019, doi: 10.3390/rs11050598.
[50] N. Fourrié et al., «The AROME-WMED reanalyses of the first special observation period of the Hydrological cycle in the Mediterranean experiment (HyMeX)», Geosci. Model Dev., vol. 12, n. 7, pagg. 2657–2678, lug. 2019, doi: 10.5194/gmd-12-2657-2019.
[51] F. Esposito, M. Calvello, e G. Pavese, «Application of a high-temporal resolution model for the identification of columnar aerosol components», Journal of Atmospheric and Solar-Terrestrial Physics, vol. 195, pag. 105132, nov. 2019, doi: 10.1016/j.jastp.2019.105132.
[52] M. D’Emilio, R. Coluzzi, V. Imbrenda, M. Macchiato, e M. Ragosta, «Magnetic susceptibility measurements used for monitoring heavy metals in the industrial area of Tito scalo. Comparison with the results obtained in different industrial areas of Basilicata Region (southern Italy)», FRESENIUS ENVIRONMENTAL BULLETIN, vol. 28, n. 5, pagg. 4370–4374, 2019.
[53] R. Coluzzi et al., «Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems», Geomatics, Natural Hazards and Risk, vol. 10, n. 1, pagg. 168–180, gen. 2019, doi: 10.1080/19475705.2018.1513872.
[54] J. Castagna, M. Calvello, F. Esposito, e G. Pavese, «Analysis of equivalent black carbon multi-year data at an oil pre-treatment plant: Integration with satellite data to identify black carbon transboundary sources», Remote Sensing of Environment, vol. 235, pag. 111429, dic. 2019, doi: 10.1016/j.rse.2019.111429.
[55] J. Bhandari et al., «Extensive Soot Compaction by Cloud Processing from Laboratory and Field Observations», Sci Rep, vol. 9, n. 1, pag. 11824, dic. 2019, doi: 10.1038/s41598-019-48143-y.
[56] V. Telesca, A. Lay-Ekuakille, M. Ragosta, G. Giorgio, e B. Lumpungu, «Effects on Public Health of Heat Waves to Improve the Urban Quality of Life», Sustainability, vol. 10, n. 4, pag. 1082, apr. 2018, doi: 10.3390/su10041082.
[57] C. Serio et al., «PCA determination of the radiometric noise of high spectral resolution infrared observations from spectral residuals: Application to IASI», Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 206, pagg. 8–21, feb. 2018, doi: 10.1016/j.jqsrt.2017.10.022.
[58] F. Saïd, B. Campistron, e P. Di Girolamo, «High-resolution humidity profiles retrieved from wind profiler radar measurements», Atmos. Meas. Tech., vol. 11, n. 3, pagg. 1669–1688, mar. 2018, doi: 10.5194/amt-11-1669-2018.
[59] G. Masiello, C. Serio, S. Venafra, G. Liuzzi, L. Poutier, e F.-M. Göttsche, «Physical Retrieval of Land Surface Emissivity Spectra from Hyper-Spectral Infrared Observations and Validation with In Situ Measurements», Remote Sensing, vol. 10, n. 6, pag. 976, giu. 2018, doi: 10.3390/rs10060976.
[60] F. Marchese et al., «The Contribution of Multi-Sensor Infrared Satellite Observations to Monitor Mt. Etna (Italy) Activity during May to August 2016», Remote Sensing, vol. 10, n. 12, pag. 1948, dic. 2018, doi: 10.3390/rs10121948.
[61] F. Marchese, A. Falconieri, N. Pergola, e V. Tramutoli, «Monitoring the Agung (Indonesia) Ash Plume of November 2017 by Means of Infrared Himawari 8 Data», Remote Sensing, vol. 10, n. 6, pag. 919, giu. 2018, doi: 10.3390/rs10060919.
[62] S. Manfreda, C. Samela, A. Refice, V. Tramutoli, e F. Nardi, «Advances in Large-Scale Flood Monitoring and Detection», Hydrology, vol. 5, n. 3, pag. 49, set. 2018, doi: 10.3390/hydrology5030049.
[63] T. Lacava, M. Kervyn, M. Liuzzi, F. Marchese, N. Pergola, e V. Tramutoli, «Assessing Performance of the RSTVOLC Multi-Temporal Algorithm in Detecting Subtle Hot Spots at Oldoinyo Lengai (Tanzania, Africa) for Comparison with MODLEN», Remote Sensing, vol. 10, n. 8, pag. 1177, lug. 2018, doi: 10.3390/rs10081177.
[64] T. Lacava, E. Ciancia, M. Faruolo, N. Pergola, V. Satriano, e V. Tramutoli, «Analyzing the December 2013 Metaponto Plain (Southern Italy) Flood Event by Integrating Optical Sensors Satellite Data», Hydrology, vol. 5, n. 3, pag. 43, ago. 2018, doi: 10.3390/hydrology5030043.
[65] T. Lacava et al., «Evaluation of MODIS—Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters», Remote Sensing, vol. 10, n. 7, pag. 987, giu. 2018, doi: 10.3390/rs10070987.
[66] S. Khodayar et al., «Multi-scale observations of atmospheric moisture variability in relation to heavy precipitating systems in the northwestern Mediterranean during HyMeX IOP12», Q J R Meteorol Soc, vol. 144, n. 717, pagg. 2761–2780, ott. 2018, doi: 10.1002/qj.3402.
[67] C. Filizzola et al., «On the use of temporal vegetation indices in support of eligibility controls for EU aids in agriculture», International Journal of Remote Sensing, vol. 39, n. 14, pagg. 4572–4598, ago. 2018, doi: 10.1080/01431161.2017.1395973.
[68] M. Faruolo, T. Lacava, N. Pergola, e V. Tramutoli, «On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space», Sensors, vol. 18, n. 8, pag. 2466, lug. 2018, doi: 10.3390/s18082466.
[69] A. Falconieri, M. Cooke, C. Filizzola, F. Marchese, N. Pergola, e V. Tramutoli, «Comparing Two Independent Satellite-Based Algorithms for Detecting and Tracking Ash Clouds by Using SEVIRI Sensor», Sensors, vol. 18, n. 2, pag. 369, gen. 2018, doi: 10.3390/s18020369.
[70] F. Duffourg, K.-O. Lee, V. Ducrocq, C. Flamant, P. Chazette, e P. Di Girolamo, «Role of moisture patterns in the backbuilding formation of HyMeX IOP13 heavy precipitation systems: Role of Moisture Patterns Involved in IOP13 HPE», Q.J.R. Meteorol. Soc., vol. 144, n. 710, pagg. 291–303, gen. 2018, doi: 10.1002/qj.3201.
[71] P. Di Girolamo, A. Scoccione, M. Cacciani, D. Summa, B. De Rosa, e J. H. Schween, «Clear-air lidar dark band», Atmos. Chem. Phys., vol. 18, n. 7, pagg. 4885–4896, apr. 2018, doi: 10.5194/acp-18-4885-2018.
[72] P. Di Girolamo, A. Behrendt, e V. Wulfmeyer, «Space-borne profiling of atmospheric thermodynamic variables with Raman lidar: performance simulations», Opt. Express, vol. 26, n. 7, pag. 8125, apr. 2018, doi: 10.1364/OE.26.008125.
[73] M. D’Emilio et al., «Satellite data and soil magnetic susceptibility measurements for heavy metals monitoring: findings from Agri Valley (Southern Italy)», Environ Earth Sci, vol. 77, n. 3, pag. 63, feb. 2018, doi: 10.1007/s12665-017-7206-4.
[74] E. Ciancia et al., «Investigating the chlorophyll-a variability in the Gulf of Taranto (North-western Ionian Sea) by a multi-temporal analysis of MODIS-Aqua Level 3/Level 2 data», Continental Shelf Research, vol. 155, pagg. 34–44, mar. 2018, doi: 10.1016/j.csr.2018.01.011.
[75] H. H. Aumann et al., «Evaluation of Radiative Transfer Models With Clouds», J. Geophys. Res. Atmos., vol. 123, n. 11, pagg. 6142–6157, giu. 2018, doi: 10.1029/2017JD028063.
[76] X. Zhang, K. Hattori, e V. Tramutoli, «Preface to the special issue on electromagnetic phenomena related to seismic and volcanic activities from EMSEV in 2016», Earthq Sci, vol. 30, n. 4, pagg. 165–166, ago. 2017, doi: 10.1007/s11589-017-0194-3.
[77] X. Su et al., «Regional transport of anthropogenic pollution and dust aerosols in spring to Tianjin — A coastal megacity in China», Science of The Total Environment, vol. 584–585, pagg. 381–392, apr. 2017, doi: 10.1016/j.scitotenv.2017.01.016.
[78] A. Masi, L. Chiauzzi, G. Santarsiero, M. Liuzzi, e V. Tramutoli, «Seismic damage recognition based on field survey and remote sensing: general remarks and examples from the 2016 Central Italy earthquake», Nat Hazards, vol. 86, n. S1, pagg. 193–195, mar. 2017, doi: 10.1007/s11069-017-2776-8.
[79] F. Marchese, F. Sannazzaro, A. Falconieri, C. Filizzola, N. Pergola, e V. Tramutoli, «An Enhanced Satellite-Based Algorithm for Detecting and Tracking Dust Outbreaks by Means of SEVIRI Data», Remote Sensing, vol. 9, n. 6, pag. 537, mag. 2017, doi: 10.3390/rs9060537.
[80] F. Marchese et al., «Issues and Possible Improvements in Winter Fires Detection by Satellite Radiances Analysis: Lesson Learned in Two Regions of Northern Italy», IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, vol. 10, n. 7, pagg. 3297–3313, lug. 2017, doi: 10.1109/JSTARS.2017.2670059.
[81] A. Macke et al., «The HD(CP)<sup>2</sup> Observational Prototype Experiment (HOPE) – an overview», Atmos. Chem. Phys., vol. 17, n. 7, pagg. 4887–4914, apr. 2017, doi: 10.5194/acp-17-4887-2017.
[82] S. Lolli, P. Di Girolamo, B. Demoz, X. Li, e E. J. Welton, «Rain Evaporation Rate Estimates from Dual-Wavelength Lidar Measurements and Intercomparison against a Model Analytical Solution», Journal of Atmospheric and Oceanic Technology, vol. 34, n. 4, pagg. 829–839, apr. 2017, doi: 10.1175/JTECH-D-16-0146.1.
[83] G. Liuzzi, G. Masiello, C. Serio, D. Meloni, C. Di Biagio, e P. Formenti, «Consistency of dimensional distributions and refractive indices of desert dust measured over Lampedusa with IASI radiances», Atmos. Meas. Tech., vol. 10, n. 2, pagg. 599–615, feb. 2017, doi: 10.5194/amt-10-599-2017.
[84] A. Lay-Ekuakille, V. Telesca, M. Ragosta, G. A. Giorgio, P. K. Mvemba, e S. Kidiamboko, «Supervised and Characterized Smart Monitoring Network for Sensing Environmental Quantities», IEEE Sensors J., vol. 17, n. 23, pagg. 7812–7819, dic. 2017, doi: 10.1109/JSEN.2017.2727962.
[85] T. Lacava et al., «A MODIS-Based Robust Satellite Technique (RST) for Timely Detection of Oil Spilled Areas», Remote Sensing, vol. 9, n. 2, pag. 128, feb. 2017, doi: 10.3390/rs9020128.
[86] R. Heinze et al., «Large‐eddy simulations over Germany using ICON: a comprehensive evaluation», Q.J.R. Meteorol. Soc., vol. 143, n. 702, pagg. 69–100, gen. 2017, doi: 10.1002/qj.2947.
[87] G. Giorgio, M. Ragosta, e V. Telesca, «Climate Variability and Industrial-Suburban Heat Environment in a Mediterranean Area», Sustainability, vol. 9, n. 5, pag. 775, mag. 2017, doi: 10.3390/su9050775.
[88] G. A. Giorgio, M. Ragosta, e V. Telesca, «Application of a multivariate statistical index on series of weather measurements at local scale», Measurement, vol. 112, pagg. 61–66, dic. 2017, doi: 10.1016/j.measurement.2017.08.005.
[89] A. Elferchichi, G. Giorgio, N. Lamaddalena, M. Ragosta, e V. Telesca, «Variability of Temperature and Its Impact on Reference Evapotranspiration: The Test Case of the Apulia Region (Southern Italy)», Sustainability, vol. 9, n. 12, pag. 2337, dic. 2017, doi: 10.3390/su9122337.
[90] P. Di Girolamo et al., «Characterisation of boundary layer turbulent processes by the Raman lidar BASIL in the frame of HD(CP)<sup>2</sup> Observational Prototype Experiment», Atmos. Chem. Phys., vol. 17, n. 1, pagg. 745–767, gen. 2017, doi: 10.5194/acp-17-745-2017.
[91] C. Camy-Peyret, G. Liuzzi, G. Masiello, C. Serio, S. Venafra, e S. A. Montzka, «Assessment of IASI capability for retrieving carbonyl sulphide (OCS)», Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 201, pagg. 197–208, nov. 2017, doi: 10.1016/j.jqsrt.2017.07.006.
[92] M. Calvello et al., «IMAA (Integrated Measurements of Aerosol in Agri valley) campaign: Multi-instrumental observations at the largest European oil/gas pre-treatment plant area», Atmospheric Environment, vol. 169, pagg. 297–306, nov. 2017, doi: 10.1016/j.atmosenv.2017.09.026.
CONFERENCE PAPER
[93] C. Serio, G. Masiello, P. Mastro, S. Belviso, e M. Remaud, «Seasonal variability of degrees of freedom and its effect over time series and spatial patterns of atmospheric gases from satellite: application to carbonyl sulfide (OCS)», in Remote Sensing of Clouds and the Atmosphere XXVI, Online Only, Spain, set. 2021, pag. 2. doi: 10.1117/12.2599761.
[94] P. Mastro et al., «Cloud liquid and ice water content estimation from satellite: a regression approach based on neural networks», in Remote Sensing of Clouds and the Atmosphere XXVI, Online Only, Spain, set. 2021, pag. 15. doi: 10.1117/12.2600124.
[95] G. Masiello et al., «Emissivity Based Indices for Drought and Forest Fire», in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, lug. 2021, pagg. 930–933. doi: 10.1109/IGARSS47720.2021.9553777.
[96] G. Masiello et al., «Assessment of air quality with TROPOMI during COVID-19 pandemic: NO2 over the Po valley», in Remote Sensing of Clouds and the Atmosphere XXVI, Online Only, Spain, set. 2021, pag. 1. doi: 10.1117/12.2599774.
[97] M. A. Stelmaszczuk-Górska et al., «BODY OF KNOWLEDGE FOR THE EARTH OBSERVATION AND GEOINFORMATION SECTOR – A BASIS FOR INNOVATIVE SKILLS DEVELOPMENT», Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., vol. XLIII-B5-2020, pagg. 15–22, ago. 2020, doi: 10.5194/isprs-archives-XLIII-B5-2020-15-2020.
[98] C. Serio, G. Masiello, P. Mastro, A. Cersosimo, P. Pasquariello, e S. Venafra, «Simultaneous retrieval of OCS, and CO2 from the IASI shortwave spectral band: assessment of the accuracy of the retrieval products and validation with in situ observations.», in Remote Sensing of Clouds and the Atmosphere XXV, Online Only, United Kingdom, set. 2020, pag. 5. doi: 10.1117/12.2573351.
[99] B. Riedler et al., «COPERNICUS KNOWLEDGE AND INNOVATION HUBS», Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., vol. XLIII-B5-2020, pagg. 35–42, ago. 2020, doi: 10.5194/isprs-archives-XLIII-B5-2020-35-2020.
[100] P. Mastro, P. Pasquariello, G. Masiello, e C. Serio, «Cloud detection from IASI hyperspectral data: a statistical approach based on neural networks», in Remote Sensing of Clouds and the Atmosphere XXV, Online Only, United Kingdom, set. 2020, pag. 11. doi: 10.1117/12.2573326.
[101] G. Masiello, A. Cersosimo, P. Mastro, C. Serio, S. Venafra, e P. Pasquariello, «Emissivity-based vegetation indices to monitor deforestation and forest degradation in the Congo basin rainforest», in Remote Sensing for Agriculture, Ecosystems, and Hydrology XXII, Online Only, United Kingdom, set. 2020, pag. 17. doi: 10.1117/12.2573488.
[102] P. Di Girolamo, C. Serio, V. Wulfmeyer, A. Behrendt, e D. Dionisi, «CO 2 Profiling by Space-Borne Raman Lidar», EPJ Web Conf., vol. 237, pag. 01004, 2020, doi: 10.1051/epjconf/202023701004.
[103] P. Di Girolamo e M.-N. Bouin, «Characterization of Complex Water Vapour Field Structures and their Genesis Based on the Combined use of Raman Lidar Measurements and MESO-NH Model Simulations», in EPJ Web of Conferences, 2020, vol. 237, pag. 03007. doi: 10.1051/epjconf/202023703007.
[104] B. De Rosa, P. Di Girolamo, e D. Summa, «Water Vapour and Temperature Measurements by Raman Lidar in the Frame of the NDACC», EPJ Web Conf., vol. 237, pag. 05012, 2020, doi: 10.1051/epjconf/202023705012.
[105] B. De Rosa, P. Di Girolamo, D. Summa, e D. Stellitano, «Characterization of Aerosol Size and Microphysical Properties from Multi-Wavelength Raman Lidar Measurements: Inter-Comparison with in Situ Sensors Onboard the ATR 42 in the Framework of HyMEX-SOP1», EPJ Web Conf., vol. 237, pag. 02009, 2020, doi: 10.1051/epjconf/202023702009.
[106] C. Serio, G. Masiello, e S. Venafra, «CO2 retrieval algorithm for the Infrared Atmospheric Sounder Interferometer: the potential of retrieving the vertical profile of carbon dioxide from its hot or laser bands in the 800-1200 cm-1 atmospheric window», in Remote Sensing of Clouds and the Atmosphere XXIV, Strasbourg, France, ott. 2019, pag. 15. doi: 10.1117/12.2532729.
[107] G. Masiello, C. Serio, S. Venafra, A. Cersosimo, e G. Liuzzi, «An application to Mediterranean Sea of the SEVIRI level 2 processor for surface parameters», in Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, Strasbourg, France, ott. 2019, pag. 12. doi: 10.1117/12.2532547.
[108] P. Di Girolamo et al., «Introducing the atmospheric thermodynamics lidar in Space: ATLAS», in International Conference on Space Optics — ICSO 2018, Chania, Greece, lug. 2019, pag. 240. doi: 10.1117/12.2536160.
[109] I. De Feis, G. Masiello, e C. Serio, «An optimal interpolation scheme for surface and atmospheric parameters: applications to SEVIRI and IASI», in Remote Sensing of Clouds and the Atmosphere XXIV, Strasbourg, France, ott. 2019, pag. 11. doi: 10.1117/12.2534520.
[110] U. Amato, M. F. Carfora, G. Masiello, e C. Serio, «Assessment of cumulative discriminant analysis for cloud detection in the ESA PROBA-V Round Robin exercise», in Remote Sensing of Clouds and the Atmosphere XXIV, Strasbourg, France, ott. 2019, pag. 6. doi: 10.1117/12.2534292.
[111] D. Summa, P. Di Girolamo, C. Flamant, B. De Rosa, M. Cacciani, e D. Stelitano, «Water vapour inter-comparison effort in the framework of the hydrological cycle in the mediterranean experiment – special observation period (hymex-sop1)», in EPJ Web of Conferences, 2018, vol. 176, pag. 08016. doi: 10.1051/epjconf/201817608016.
[112] C. Serio, G. Masiello, e G. Liuzzi, «Dimensionality reduction through random projections for application to the retrieval of atmospheric parameters from hyperspectral satellite sensors», in Image and Signal Processing for Remote Sensing XXIV, Berlin, Germany, ott. 2018, pag. 21. doi: 10.1117/12.2325364.
[113] G. Masiello, C. Serio, S. Venafra, G. Liuzzi, e C. Camy-Peyret, «Four years of IASI CO2, CH4, N2O retrievals: validation with in situ observations from the Mauna Loa station», in Remote Sensing of Clouds and the Atmosphere XXIII, Berlin, Germany, ott. 2018, pag. 15. doi: 10.1117/12.2325569.
[114] S. Lolli, P. Di Girolamo, B. Demoz, X. Li, e E. J. Welton, «Estimate of rain evaporation rates from dual-wavelength lidar measurements: comparison against a model analytical solution», in EPJ Web of Conferences, 2018, vol. 176, pag. 04002. doi: 10.1051/epjconf/201817604002.
[115] P. Di Girolamo, A. Behrendt, e V. Wulfmeyer, «Space-borne profiling of atmospheric thermodynamic variables with raman lidar», in EPJ Web of Conferences, 2018, vol. 176, pag. 02002. doi: 10.1051/epjconf/201817602002.
[116] B. De Rosa et al., «Temperature inter-comparison effort in the framework of Hydrological Cycle in the Mediterranean Experiment – Special Observation Period (HyMeX-SOP1)», in EPJ Web of Conferences, 2018, vol. 176, pag. 08010. doi: 10.1051/epjconf/201817608010.
[117] B. De Rosa, P. Di Girolamo, e D. Summa, «Characterization of atmospheric thermodynamic variables by Raman lidar in the frame of the International Network for the Detection of Atmospheric Composition Change - NDACC», in EPJ Web of Conferences, 2018, vol. 176, pag. 04010. doi: 10.1051/epjconf/201817604010.
[118] S. Venafra, M. G. Blasi, G. Liuzzi, G. Masiello, e C. Serio, «The very first multi-temporal and multi-spectral Level-2 SEVIRI processor for the simultaneous physical retrieval of surface temperature and emissivity», Auckland, New Zealand, 2017, pag. 060005. doi: 10.1063/1.4975521.
[119] C. Serio, M. G. Blasi, G. Liuzzi, G. Masiello, e S. Venafra, «Using the full IASI spectrum for the physical retrieval of temperature, H2O, HDO, O3, minor and trace gases», Auckland, New Zealand, 2017, pag. 060004. doi: 10.1063/1.4975520.
[120] M. Ragosta, V. Telesca, e G. A. Giorgio, «Informational parameters and synthetic multivariate indices for a smart monitoring network: the case study of hydro-meteorological data measured in Basilicata from 2000 to 2015», 2017, pagg. 26–28.
[121] G. Liuzzi, M. G. Blasi, G. Masiello, C. Serio, e S. Venafra, «All-sky radiative transfer calculations for IASI and IASI-NG: The σ-IASI-as code», Auckland, New Zealand, 2017, pag. 040004. doi: 10.1063/1.4975506.
[122] R. Q. Iannone et al., «Proba-V cloud detection Round Robin: Validation results and recommendations», in 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), Brugge, Belgium, giu. 2017, pagg. 1–8. doi: 10.1109/Multi-Temp.2017.8035219.
[123] P. Di Girolamo et al., «Characterization of turbulent processes by the Raman lidar system BASIL during the HD(CP)2 observational prototype experiment – HOPE», Auckland, New Zealand, 2017, pag. 100001. doi: 10.1063/1.4975556.
[124] P. Di Girolamo et al., «Lidar observations of low-level wind reversals over the Gulf of Lion and characterization of their impact on the water vapour variability», Auckland, New Zealand, 2017, pag. 080001. doi: 10.1063/1.4975532.
CAPITOLI DI LIBRI
[125] V. Tramutoli, N. Genzano, M. Lisi, e N. Pergola, «Significant Cases of Preseismic Thermal Infrared Anomalies», in Geophysical Monograph Series, D. Ouzounov, S. Pulinets, K. Hattori, e P. Taylor, A c. di Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018, pagg. 329–338. doi: 10.1002/9781119156949.ch19.
[126] V. Tramutoli, C. Filizzola, N. Genzano, e M. Lisi, «Robust Satellite Techniques for Detecting Preseismic Thermal Anomalies», in Geophysical Monograph Series, D. Ouzounov, S. Pulinets, K. Hattori, e P. Taylor, A c. di Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018, pagg. 241–258. doi: 10.1002/9781119156949.ch14.
[127] T. Lacava et al., «Satellite monitoring of suspended particulate matter», in The Ever Growing use of Copernicus Across Europe’s Regions, 2018, pagg. 156–157. [Online]. Disponibile su: https://www.nereus-regions.eu/download/5103