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A review of major factors influencing the accuracy of mapping green-attack stage of bark beetle infestations using satellite imagery: Prospects to avoid data redundancy

  1. TitleA review of major factors influencing the accuracy of mapping green-attack stage of bark beetle infestations using satellite imagery: Prospects to avoid data redundancy
    Author Zabihi Khodabakhsh
    Co-authors Surový Peter

    Trubin Aleksei

    Singh Vivek Vikram

    Jakuš Rastislav 1969- SAVEKLES - Ústav ekológie lesa SAV    RID    ORCID

    Source document Remote Sensing Applications: Society and Environment. Vol. 24 (2021), art. no. 100638
    Languageeng - English
    CountryNL - Netherlands
    Document kindrozpis článkov z periodík (rbx)
    Keywordsremote sensing * spatial resolution * spectral and temporal resolutions * parametric and non-parametric models * uncertainty * spectral vegetation indices * forest pest management
    CitationsZHANG, J.Z. - CONG, S.J. - ZHANG, G. - MA, Y.J. - ZHANG, Y. - HUANG, J.P. Detecting Pest-Infested Forest Damage through Multispectral Satellite Imagery and Improved UNet plus. In SENSORS. OCT 2022, vol. 22, no. 19. Dostupné na: https://doi.org/10.3390/s22197440.
    CANDOTTI, A. - DE GIGLIO, M. - DUBBINI, M. - TOMELLERI, E. A Sentinel-2 Based Multi-Temporal Monitoring Framework for Wind and Bark Beetle Detection and Damage Mapping. In REMOTE SENSING. DEC 2022, vol. 14, no. 23. Dostupné na: https://doi.org/10.3390/rs14236105.
    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 inWOS
    Registered inSCOPUS
    DOI 10.1016/j.rsase.2021.100638
    article

    article

    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    N
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    202120200.703Q2
Number of the records: 1  

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