Number of the records: 1  

Refined prediction of vertical gradient of gravity at Etna volcano gravity network (Italy)

  1. TitleRefined prediction of vertical gradient of gravity at Etna volcano gravity network (Italy)
    Author Zahorec Pavol 1975 SAVGEOF ; SAVUVOZ - Geofyzikálny ústav SAV    SCOPUS    SCOPUS    ORCID
    Co-authors Papčo Juraj

    Vajda Peter 1966 SAVGEOF ; SAVUVOZ - Geofyzikálny ústav SAV    SCOPUS    RID    ORCID

    Greco Filippo

    Cantarero Massimo

    Carbone Daniele

    Source document Contributions to Geophysics and Geodesy. Vol. 48, no. 4 (2018), p. 299-317
    Languageeng - English
    CountrySK - Slovak Republic
    URLURL link
    Document kindrozpis článkov z periodík (rbx)
    CitationsJAMES, Mike R. - CARR, Brett B. - D'ARCY, Fiona - DIEFENBACH, Angela K. - DIETTERICH, Hannah R. - FORNACIAI, Alessandro - LEV, Einat - LIU, Emma J. - PIERI, David C. - RODGERS, Mel - SMETS, Benoît - TERADA, Akihiko - VON AULOCK, Felix W. - WALTER, Thomas R. - WOOD, Kieran T. - ZORN, Edgar U. Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges. In Volcanica, 2020, vol. 3, no. 1, p. 64-114.
    YU, Chen - LI, Zhenhong - BLEWITT, Geoffrey. Global Comparisons of ERA5 and the Operational HRES Tropospheric Delay and Water Vapor Products With GPS and MODIS. In EARTH AND SPACE SCIENCE, 2021, vol. 8, no. 5.
    BRIGHENTI, Fabio - CARNEMOLLA, Francesco - MESSINA, Danilo - DE GUIDI, Giorgio. UAV survey method to monitor and analyze geological hazards: the case study of the mud volcano of Villaggio Santa Barbara, Caltanissetta (Sicily). In NATURAL HAZARDS AND EARTH SYSTEM SCIENCES. ISSN 1561-8633, 2021, vol. 21, no. 9, pp. 2881-2898. Dostupné na: https://doi.org/10.5194/nhess-21-2881-2021.
    CategoryADNB - Scientific papers in domestic non-impacted journals registered in Web of Sciences or Scopus
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2018
    Registered inWOS
    Registered inSCOPUS
    DOI 10.2478/congeo-2018-0014
    article

    article

    File nameAccessSizeDownloadedTypeLicense
    refined prediction of vertical.pdfavailable12 MB0Publisher's version
    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    N
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    201820170.199Q4
Number of the records: 1  

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