Applicability of a vegetation indices-based method to map bark beetle outbreaks in the High Tatra Mountains

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F15%3A68517" target="_blank" >RIV/60460709:41320/15:68517 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.15287/afr.2015.388" target="_blank" >http://dx.doi.org/10.15287/afr.2015.388</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15287/afr.2015.388" target="_blank" >10.15287/afr.2015.388</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Applicability of a vegetation indices-based method to map bark beetle outbreaks in the High Tatra Mountains

Popis výsledku v původním jazyce

Automatic identification of forest patches disturbed by the spruce bark beetle Ips typographus L. is crucial to reveal the rules of following bark beetle outbreaks on the landscape scale. Landsat imagery provides free resources to outline past and present gradations of bark beetle outbreaks (BBOs). The objective of this study is to identify the most sensitive vegetation index through different method of vegetation index differencing to identify past and actual bark beetle outbreaks. Six Landsat ThematicMapper (TM) images, from 2005?2009 and 2011, were converted into selected vegetation indices (VIs) sensitive to conifer tree health in a Norway spruce?dominated forest in the High Tatra Mountains. The Vegetation Condition Index (VCI), Moisture Stress Index (MSI), Normalised Difference Moisture Index (NDMI), Normalised Difference Vegetation Index (NDVI), Disturbance Index (DI) and Changed Disturbance Index (DI´) were calculated separately for every year, and the methodology of vegetation

Název v anglickém jazyce

Applicability of a vegetation indices-based method to map bark beetle outbreaks in the High Tatra Mountains

Popis výsledku anglicky

Automatic identification of forest patches disturbed by the spruce bark beetle Ips typographus L. is crucial to reveal the rules of following bark beetle outbreaks on the landscape scale. Landsat imagery provides free resources to outline past and present gradations of bark beetle outbreaks (BBOs). The objective of this study is to identify the most sensitive vegetation index through different method of vegetation index differencing to identify past and actual bark beetle outbreaks. Six Landsat ThematicMapper (TM) images, from 2005?2009 and 2011, were converted into selected vegetation indices (VIs) sensitive to conifer tree health in a Norway spruce?dominated forest in the High Tatra Mountains. The Vegetation Condition Index (VCI), Moisture Stress Index (MSI), Normalised Difference Moisture Index (NDMI), Normalised Difference Vegetation Index (NDVI), Disturbance Index (DI) and Changed Disturbance Index (DI´) were calculated separately for every year, and the methodology of vegetation

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Annals of Forest Research

ISSN

1844-8135

e-ISSN

—

Svazek periodika

58

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

295-310

Kód UT WoS článku

000368210100008

EID výsledku v databázi Scopus

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