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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
Title 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 Author Zabihi Khodabakhsh Co-authors Surový Peter Trubin Aleksei Singh Vivek Vikram Jakuš Rastislav 1969- SAVEKLES - Ústav ekológie lesa SAV ORCID Source document Remote Sensing Applications: Society and Environment. Vol. 24 (2021), art. no. 100638 Language eng - English Country NL - Netherlands Document kind rozpis článkov z periodík (rbx) Keywords remote sensing * spatial resolution * spectral and temporal resolutions * parametric and non-parametric models * uncertainty * spectral vegetation indices * forest pest management Citations ZHANG, 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. Category ADMB - 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 document článok Year 2021 Registered in WOS Registered in SCOPUS DOI 10.1016/j.rsase.2021.100638 
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rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2021 2020 0.703 Q2
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