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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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