Early detection of bark beetle infestation using UAV-borne multispectral imagery: a case study on the spruce forest in the Czech Republic

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F24%3AN0000014" target="_blank" >RIV/60460709:41320/24:N0000014 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41330/24:100066 RIV/60461373:22340/24:43930730

Result on the web

<a href="https://www.frontiersin.org/journals/forests-and-global-change/articles/10.3389/ffgc.2024.1215734/full" target="_blank" >https://www.frontiersin.org/journals/forests-and-global-change/articles/10.3389/ffgc.2024.1215734/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/ffgc.2024.1215734" target="_blank" >10.3389/ffgc.2024.1215734</a>

Result language

angličtina

Original language name

Early detection of bark beetle infestation using UAV-borne multispectral imagery: a case study on the spruce forest in the Czech Republic

Original language description

Over the last decade, biotic disturbances caused by bark beetles have represented a serious environmental and economic issue in Central Europe. Great efforts are expended on the early detection and management of bark beetle infestation. Our study analyses a time series of UAV-borne multispectral imagery of a 250-ha forest in the Vyso & ccaron;ina region in the Czech Republic. The study site represents a typical European spruce forest with routine silvicultural management. UAV-borne data was acquired three times during the vegetation period, specifically (a) before swarming, (b) at the early stage of infestation, and (c) in the post-abandon phase, i.e., after most bark beetle offspring left the trees. The spectral reflectance values and vegetation indices calculated from orthorectified and radiometrically calibrated imageries were statistically analyzed by quadratic discriminant analysis (QDA). The study shows that healthy and infested trees could be distinguished at the early stage of infestation, especially using NIR-related vegetation indices (NDVI and BNDVI in our case). Detecting infested trees is more significant by vegetation indices than spectral bands and increases with the increasing time after infestation. The study verified the usability of UAV-borne multispectral imageries for early detection of bark beetle infestation at the level of individual trees. Thus, these methods can contribute to precise and effective forest management on a local level.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10618 - Ecology

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)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

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

Name of the periodical

FRONTIERS IN FORESTS AND GLOBAL CHANGE

ISSN

2624-893X

e-ISSN

—

Volume of the periodical

7

Issue of the periodical within the volume

1215734

Country of publishing house

CH - SWITZERLAND

Number of pages

13

Pages from-to

1-13

UT code for WoS article

001219022400001

EID of the result in the Scopus database

2-s2.0-85192381397