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Assessing early bark beetle infestation in Norway spruce using multitemporal hyperspectral UAV imagery: Is detection during the green stage always timely?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F25%3A10504142" target="_blank" >RIV/00216208:11310/25:10504142 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=s03UYDxgfn" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=s03UYDxgfn</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecolind.2025.113869" target="_blank" >10.1016/j.ecolind.2025.113869</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assessing early bark beetle infestation in Norway spruce using multitemporal hyperspectral UAV imagery: Is detection during the green stage always timely?

  • Original language description

    The European spruce bark beetle (Ips typographus) poses a major threat to forests, causing significant tree mortality and ecosystem disruption. Hyperspectral imagery from unmanned aerial vehicles (UAVs) offers potential for early detection of infestations, but its application remains limited. This study evaluates the effectiveness of a dense time series of UAV hyperspectral imagery (nine dates, May-August 2022, Krkonoše Mts. Czechia, 1030 m a.s.l.) at 3 cm spatial resolution for timely detection of bark beetle infestations in Norway spruce (Picea abies (L.) Karst.). We compared 23 infested trees (grouped into 11, 6, and 6) with 23 healthy controls (same grouping). Spectral separability between healthy and infested trees was assessed using Jeffries-Matusita distance, Analysis of Similarities, Wilcoxon rank-sum test, and Difference-in-Differences. The earliest detection date was June 15, similar to 3 weeks after estimated start of infestation, similar to 2 weeks after bark symptoms became visible, and similar to 2 weeks before crown discoloration appeared. To improve the timing and targeting of RS-based detection, we proposed subdividing the green stage into three substages: G-HS (green hidden symptoms stage, ca 1-10 days after start of infestation): subtle bark symptoms hidden in upper trunk, G-BS (visible bark symptom stage, lasts ca 3 weeks): visible bark symptoms in lower trunk, green crowns, G-YS (green-yellow stage, ca 5 weeks after bark visible infestation): initial crown discoloration. Our findings showed that UAV-based hyperspectral sensing can significantly enhance bark beetle detection, especially when the detection occurs within 3 weeks after bark-visible infestation providing a critical window for timely interventions to limit outbreak spread.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ecological Indicators

  • ISSN

    1470-160X

  • e-ISSN

    1872-7034

  • Volume of the periodical

    178

  • Issue of the periodical within the volume

    178

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    113869

  • UT code for WoS article

    001536440600001

  • EID of the result in the Scopus database

    2-s2.0-105010474975