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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?

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10511 - Environmental sciences (social aspects to be 5.7)

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Ecological Indicators

  • ISSN

    1470-160X

  • e-ISSN

    1872-7034

  • Svazek periodika

    178

  • Číslo periodika v rámci svazku

    178

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    17

  • Strana od-do

    113869

  • Kód UT WoS článku

    001536440600001

  • EID výsledku v databázi Scopus

    2-s2.0-105010474975