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