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Automatic Landslide Detection Using Bi-Temporal Sentinel 2 Imagery

  1. TitleAutomatic Landslide Detection Using Bi-Temporal Sentinel 2 Imagery
    Author Piralilou Sepideh Tavakkoli
    Co-authors Shahabi Hejar 1991 SAVGEOGR - Geografický ústav SAV    SCOPUS    RID    ORCID

    Pazúr Róbert 1981 SAVGEOGR - Geografický ústav SAV    SCOPUS    ORCID

    Source document GI_Forum - Special Issue : 12th International Symposium on Digital Earth. (2021), p. 39-45. - Wien : Austrian Academy of Sciences Press, 2021 / Blaschke Thomas ; Strobl Josef ; Wegmayr Julia
    Languageeng - English
    Document kindrozpis článkov z periodík (rzb)
    Keywordsearth observation * sudden landslide identification product (SLIP) * Sentinel 2
    CitationsGHORBANZADEH, O. - SHAHABI, H. - CRIVELLARI, A. - HOMAYOUNI, S. - BLASCHKE, T. - GHAMISI, P. Landslide detection using deep learning and object-based image analysis. In LANDSLIDES. ISSN 1612-510X, 2022, vol. 19, no. 4, p. 929-939. Dostupné na: https://doi.org/10.1007/s10346-021-01843-x.
    BRAVO-LÓPEZ, E. - DEL CASTILLO, T.F. - SELLERS, C. - DELGADO-GARCíA, J. Landslide Susceptibility Mapping of Landslides with Artificial Neural Networks: Multi-Approach Analysis of Backpropagation Algorithm Applying the Neuralnet Package in Cuenca, Ecuador. In REMOTE SENSING, 2022, vol. 14, no. 14, art. no. 3495. Dostupné na: https://doi.org/10.3390/rs14143495.
    CategoryADMB - Scientific papers in foreign 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
    Year2021
    Registered inSCOPUS
    DOI 10.1553/giscience2021_01_s39
    article

    article

    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
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    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    2021
Number of the records: 1  

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