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  • Articles  (13)
  • Open Access-Papers  (13)
  • Geoethics  (5)
  • 05. General::05.01. Computational geophysics::05.01.01. Data processing  (4)
  • 04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous  (3)
  • 04. Solid Earth::04.07. Tectonophysics::04.07.06. Subduction related processes
  • Istituto Nazionale di Geofisica e Vulcanologia  (11)
  • Nature Publishing Group  (2)
  • American Chemical Society
  • BioMed Central
  • 2020-2023
  • 2010-2014  (13)
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  • Articles  (13)
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  • Open Access-Papers  (13)
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  • 11
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    Istituto Nazionale di Geofisica e Vulcanologia
    Publication Date: 2017-04-04
    Description: Hyperspectral sensors have become a standard technology used in the techniques of observation by satellite and aerial platform for observing the terrestrial ecosystem with particular interest in the detection and identification of minerals, vegetation, materials and artificial environments. The detection of real materials depends on the coverage spectral resolution and signal to noise ratio of the spectrometer itself, as well as the density of the material and the absorption characteristics for the material in the region of wavelength measured. The signal to noise ratio in particular is one of the parameters that need to be estimated to establish the quality of images acquired by these systems. In this contribution a method to estimate the Signal to Noise Ratio (SNR) for unsupervised hyperspectral images has been investigated. The method uses the computation of local means and local standard deviations of small homogeneous blocks in order to define respectively the average signal and the mean noise of the images. If the noise may be considered mainly addictive the local standard deviation may be considered as the mean noise of image. This method uses all the spatial information contained in the image scene giving a representative SNR of entire image. The technique has been engineered in IDL environment and applied to hyperspectral data of HYPER-SIMGA sensor, developed in the frame of AIRFIRE Project for wildfire detection by airborne remote sensing data. The SNR results point out that HYPER-SIMGA SWIR images are quite noisy and the spectral range that has to be taken into account for data analysis is from 1000 to 1700 nm.
    Description: Published
    Description: 1-18
    Description: 1.10. TTC - Telerilevamento
    Description: N/A or not JCR
    Description: open
    Keywords: Hypespectral SNR ; 05. General::05.01. Computational geophysics::05.01.01. Data processing ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 12
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    Unknown
    Istituto Nazionale di Geofisica e Vulcanologia
    Publication Date: 2017-04-04
    Description: In the framework of ground-motion amplification analysis for southern Italy, the main target of this study is to provide new constraints on onedimensional, shallow-velocity profiles for a site in the San Fele area near the city of Potenza (southern Italy) where a permanent Irpinia Seismic Network (ISNet) seismic station is installed. Ambient noise vibrations were recorded during a seismic survey in San Fele, and the data acquired were used to define the shallow shear-wave velocity profiles and thicknesses of the shallow soil layers, through analysis of the dispersion characteristics of the surface waves. Single station and array techniques were used to obtain robust results, which show relatively flat curves of the H/V spectral ratios and variations in shearwave velocities confined to the first 50 m in depth. On the basis of these results for the San Fele site, the present study aims to delineate a standard procedure that can be systematically applied to all of the other ISNet stations to improve site characterization. This will allow more accurate evaluation of peak ground-motion quantities (e.g. peak ground acceleration, peak ground velocity) at rock sites for use in shakemap analysis.
    Description: AMRA S.c. a r.l.
    Description: Published
    Description: 59-68
    Description: 3.1. Fisica dei terremoti
    Description: 4.1. Metodologie sismologiche per l'ingegneria sismica
    Description: JCR Journal
    Description: open
    Keywords: Site effects ; seismic noise ; 04. Solid Earth::04.02. Exploration geophysics::04.02.06. Seismic methods ; 04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis ; 04. Solid Earth::04.06. Seismology::04.06.10. Instruments and techniques ; 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk ; 05. General::05.01. Computational geophysics::05.01.01. Data processing
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 13
    Publication Date: 2017-04-04
    Description: In this work we give information on the characteristics of the Italian National Seismic Network and on the seismicity and main seismic sequences in Italy during 2008. During that year the Italian National Seismic Network localized 6969 events in Italy and neighboring areas, with an apparent minimum magnitude of completeness ML of 2.1. The entire Italian Seismic Bulletin 2008 was obtained using signals from 279 stations belonging to the INGV Italian National Seismic Network and to other local and regional networks, all with real-time connection to the Centro Nazionale Terremoti in Rome. Some evidences confirm the presence of a certain percentage of events due to anthropic activity (explosions), erroneously interpreted as earthquakes of lowmagnitude.We identify 14 areas with the presence of explosions due to surfacemining activity, generating events with ML not exceeding 2.2.
    Description: Published
    Description: 1-47
    Description: 5.2. TTC - Banche dati di sismologia strumentale
    Description: N/A or not JCR
    Description: open
    Keywords: Italian seismicity ; Quarry blasts ; Seismic sequences ; Italian Seismic Bulletin ; 04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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